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600 results for “Ophthalmitis”
FIGURES 69–80. Sternite 8 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 69–80. Sternite 8 of male abdomen of Ophthalmitis. 69, O. albosignaria albosignaria; 70, O. pertusaria; 71, O. sinensium; 72, O. dissita sp. nov.; 73, O. irrorataria; 74, O. herbidaria; 75, O. siniherbida; 76, O. cordularia; 77, O. longiprocessa sp. nov.; 78, O. brevispina sp. nov.; 79, O. tumefacta sp. nov.; 80, O. xanthypochlora. Scale bar = 1 mm.
FIGURES 57–68 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 57–68. Aedeagus of Ophthalmitis. 57, O. albosignaria albosignaria; 58, O. pertusaria; 59, O. sinensium; 60, O. dissita sp. nov.; 61, O. irrorataria; 62, O. herbidaria; 63, O. siniherbida; 64, O. cordularia; 65, O. longiprocessa sp. nov.; 66, O. brevispina sp. nov.; 67, O. tumefacta sp. nov.; 68, O. xanthypochlora. Scale bar = 1 mm.
FIGURES 51–56 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 51–56. Male genitalia of Ophthalmitis. 51, O. siniherbida; 52, O. cordularia; 53, O. longiprocessa sp. nov.; 54, O. brevispina sp. nov.; 55, O. tumefacta sp. nov.; 56, O. xanthypochlora. Scale bar = 1 mm.
FIGURES 45–50 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 45–50. Male genitalia of Ophthalmitis. 45, O. albosignaria albosignaria; 46, O. pertusaria; 47, O. sinensium; 48, O. dissita sp. nov.; 49, O. irrorataria; 50, O. herbidaria. Scale bar = 1 mm.
FIGURES 1–12 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 1–12. Adults of Ophthalmitis, habitus. 1–4. O. albosignaria albosignaria. 1, male, upperside; 2, male, underside; 3, female, upperside; 4, female, underside; 5–8. O. pertusaria. 5, male, upperside; 6, male, underside; 7, female, upperside; 8, female, underside; 9–12. O. sinensium. 9, male, upperside; 10, male, underside; 11, female, upperside; 12, female, underside. Scale bar = 1 cm.
FIGURES 31–44 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 31–44. Adults of Ophthalmitis, habitus. 31–34. O. longiprocessa sp. nov. 31, male, holotype, upperside; 32, male, holotype, underside; 33, female, paratype, upperside; 34, female, paratype, underside; 35–38. O. brevispina sp. nov. 35, male, holotype, upperside; 36, male, holotype, underside; 37, female, paratype, upperside; 38, female, paratype, underside. 39–42. O. tumefacta sp. nov. 39, male, holotype, upperside; 40, male, holotype, underside; 41, female, paratype, upperside; 42, female, paratype, underside. 43–44. O. xanthypochlora. 43, male, upperside; 44, male, underside. Scale bar = 1 cm.
FIGURES 13–30 in A review of Ophthalmitis Fletcher, 1979 in China, with descriptions of four new species (Lepidoptera: Geometridae, Ennominae)
FIGURES 13–30. Adults of Ophthalmitis, habitus. 13–14. O. dissita sp. nov., holotype. 13, male, upperside; 14, male, underside. 15–18. O. irrorataria. 15, male, upperside; 16, male, underside; 17, female, upperside; 18, female, underside; 19–22. O. herbidaria. 19, male, upperside; 20, male, underside; 21, female, upperside; 22, female, underside; 23–26. O. siniherbida. 23, male, upperside; 24, male, underside; 25, female, upperside; 26, female, underside; 27–30. O. cordularia. 27, male, upperside; 28, male underside; 29, female, upperside; 30, female, underside. Scale bar = 1 cm.
Raw data for Hybrid micellar liquid chromatography separation of brimonidine tartrate and brinzolamide. Retention study and quantification in fixed dose ophthalmic suspensions
<p>Raw data for optimization of the chromatographic conditions and calibration curve construction</p>
2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection
<p>Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical measurements to make personalized decisions for every patient.</p> <p>Two main challenges in medical image processing has been <em>generalization</em> and <em>personalization</em>.</p> <p>Generalization aims to develop algorithms that work well across diverse patients and scenarios, providing standardized and widely applicable solutions. Personalization, in contrast, tailors algorithms to individual patients based on their unique characteristics, optimizing diagnosis and treatment planning. Generalization offers broad applicability but may overlook individual variations. Personalization provides tailored solutions but requires patient-specific data. While deep learning has shown an affinity towards generalization, it is lacking in personalization.</p> <p>The presence and absence of biomarkers is a personalization challenge rather than a generalization challenge. The variation within OCT scans of patients between visits can be minimal while the difference in manifestation of the same disease across patients may be substantial. The domain difference between OCT scans can arise due to pathology manifestation across patients, clinical labels, and the visit along the treatment process when the scan is taken. Morphological, texture, statistical and fuzzy image processing techniques through adaptive thresholds and preprocessing may prove substantial to overcome these fine-grained challenges. This challenge provides the data and application to address personalization.</p>
2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection Phase 2
<p>Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical measurements to make personalized decisions for every patient.</p> <p>Two main challenges in medical image processing has been <em>generalization</em> and <em>personalization</em>.</p> <p>Generalization aims to develop algorithms that work well across diverse patients and scenarios, providing standardized and widely applicable solutions. Personalization, in contrast, tailors algorithms to individual patients based on their unique characteristics, optimizing diagnosis and treatment planning. Generalization offers broad applicability but may overlook individual variations. Personalization provides tailored solutions but requires patient-specific data. While deep learning has shown an affinity towards generalization, it is lacking in personalization.</p> <p>The presence and absence of biomarkers is a personalization challenge rather than a generalization challenge. The variation within OCT scans of patients between visits can be minimal while the difference in manifestation of the same disease across patients may be substantial. The domain difference between OCT scans can arise due to pathology manifestation across patients, clinical labels, and the visit along the treatment process when the scan is taken. Morphological, texture, statistical and fuzzy image processing techniques through adaptive thresholds and preprocessing may prove substantial to overcome these fine-grained challenges. This challenge provides the data and application to address personalization.</p> <p> </p> <p>These files constitute the second phase of the VIP CUP 2023 Challenge at ICIP 2023. This test set has a more general patient base than the first one and as such is a better indicator of the performance of models. This test set was created by taking a subset of the data from a publicly available OCT dataset and then asking our medical partners to provide fine-grained biomarker labels for the competition. We provide the citation for the source of these images below: </p> <p>Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.</p> <p> </p> <p>This zenodo repository contains the images and submission template file needed for the second phase of the competition.</p>
Safety and Efficacy of ST-100 (Vezocolmitide) Ophthalmic Solution 60 μg/ml Ophthalmic Solution in Subjects Diagnosed With Dry Eye Disease (DED)
ClinicalTrials.gov study NCT06178679. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Investigation of Preservative-Free Ophthalmic Solution in Ocular Dryness
ClinicalTrials.gov study NCT05778942. IPD Sharing: NO. Countries: 1. Publications: 1.
Use of 3% Diquafosol Topical Ophthalmic Solution for Diabetic Dry Eye
ClinicalTrials.gov study NCT05193331. IPD Sharing: NO. Countries: 1. Publications: 27.
Non-inferiority of PRO-122 Ophthalmic Solution vs KRYTANTEK Ofteno® in Glaucoma or Ocular Hypertension (CONFORTK)
ClinicalTrials.gov study NCT03257813. IPD Sharing: NO. Countries: 0. Publications: 1.
Lifitegrast 5% Ophthalmic Solution and Contact Lens Dryness
ClinicalTrials.gov study NCT03686878. IPD Sharing: Not stated. Countries: 1. Publications: 3.
A Phase 3 Efficacy Study of Pilocarpine HCl Ophthalmic Solution (AGN-190584) in Participants With Presbyopia
ClinicalTrials.gov study NCT03857542. IPD Sharing: YES. Countries: 1. Publications: 0.
Allogeneic Tissue Engineering (Nanostructured Artificial Human Cornea) in Patients With Corneal Trophic Ulcers in Advanced Stages, Refractory to Conventional (Ophthalmic) Treatment
ClinicalTrials.gov study NCT01765244. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of Intra-Ophthalmic Artery Topotecan Infusion for the Treatment of Retinoblastoma
ClinicalTrials.gov study NCT01466855. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety and Tolerability of Preservative-free Polyhexamethylene Biguanide (PHMB) Ophthalmic Solution in Healthy Subjects
ClinicalTrials.gov study NCT02506257. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Topical Brinzolamide Ophthalmic Suspension Versus Placebo in the Treatment of Infantile Nystagmus Syndrome
ClinicalTrials.gov study NCT01312402. IPD Sharing: Not stated. Countries: 1. Publications: 7.
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