Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm - deep net Matlab

Name: Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm - deep net Matlab
Creator: Section of Pathological Anatomy, Department of Health Sciences, University of Florence, Florence, Italy; Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Sassari, Italy; Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy; Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy; Institute of Clinical Physiology, National Research Council, Pisa, Italy
Published: 2020-11-05T00:00:00+08:00

Zenodo2020-11-05 更新2026-04-07 收录

黑色素瘤病理诊断

医学图像识别

数据链接：

https://zenodo.org/record/4247317 数据链接链接失效反馈

官方服务：

资源简介：

The file is the trained convolutional neural network (CNN) developed in "De Logu, Francesco, et al. "Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm." <em>Frontiers in Oncology</em> 10 (2020)". The CNN is based on a pretrained Inception-ResNet-v2 to automatically recognizes cutaneous melanoma from histopathological digitalized slides. The file is in a Matlab format (.mat).

提供机构：

Section of Pathological Anatomy, Department of Health Sciences, University of Florence, Florence, Italy; Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Sassari, Italy; Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy; Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy; Institute of Clinical Physiology, National Research Council, Pisa, Italy

创建时间：

2020-11-05