AIMC Topic: Nevus, Epithelioid and Spindle Cell

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Histological interpretation of spitzoid tumours: an extensive machine learning-based concordance analysis for improving decision making.

Histopathology Apr 12, 2024
The histopathological classification of melanocytic tumours with spitzoid features remains a challenging task. We confront the complexities involved in the histological classification of these tumours by proposing machine learning (ML) algorithms tha...
Humans Machine Learning Female Melanoma Skin Neoplasms Aged Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Membrane Proteins Mutation Proto-Oncogene Proteins B-raf Nevus, Epithelioid and Spindle Cell GTP Phosphohydrolases
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A Spitzoid Tumor dataset with clinical metadata and Whole Slide Images for Deep Learning models.

Scientific data Oct 16, 2023
Spitzoid tumors (ST) are a group of melanocytic tumors of high diagnostic complexity. Since 1948, when Sophie Spitz first described them, the diagnostic uncertainty remains until now, especially in the intermediate category known as Spitz tumor of un...
Humans Melanoma Skin Neoplasms Deep Learning Metadata Nevus, Epithelioid and Spindle Cell
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Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.

The American Journal of dermatopathology Jul 19, 2022
OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead to a more accurate and timely diagnosis of melanocytic lesions, directly patient care. The objective of this study was to create and evaluate the perfo...
Humans Artificial Intelligence Melanoma Skin Neoplasms Deep Learning Pilot Projects Diagnosis, Differential Melanoma, Cutaneous Malignant Nevus, Pigmented Nevus, Epithelioid and Spindle Cell
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