Trained CNN for analysis of melanoma whole slide images to automatically assess the infiltration of TILs
<p>The file is the trained convolutional neural network (CNN) developed in "Ugolini F et al.Tumor infiltrating lymphocytes recognition in primary melanoma by deep learning convolutional neural network" submitted to American Journal of Pathology (2023). The CNN is based on a a pre-trained Inception-ResNet-v2 to automatically to recognize areas in the tumor region containing TILs and area without TILs in histopathological digitalized slides of primary melanoma. The file is in a Matlab format (.mat).</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
ScienceDex for faculty
Your academic CV and NIH biosketch
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