Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

Melanoma recognition by a deep learning convolutional neural network—Performance in different melanoma subtypes and localisations

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Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload

(2020) Julianna D. Ianni et al.   Scientific Reports

Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm

(2020) Francesco De Logu et al.   Frontiers in Oncology

A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Pathologist-level classification of histopathological melanoma images with deep neural networks

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

The impact of patient clinical information on automated skin cancer detection

(2019) Andre G.C. Pacheco et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

(2018) H A Haenssle et al.   ANNALS OF ONCOLOGY

7-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Nets

(2018) Jeremy Kawahara et al.   IEEE Journal of Biomedical and Health Informatics

Multimodal skin lesion classification using deep learning

(2018) Jordan Yap et al.   EXPERIMENTAL DERMATOLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile

(2017) P. Kharazmi et al.   SKIN RESEARCH AND TECHNOLOGY

QuPath: Open source software for digital pathology image analysis

(2017) Peter Bankhead et al.   Scientific Reports

Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center

(2010) B. Aika Shoo et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Discordance in the histopathologic diagnosis of difficult melanocytic neoplasms in the clinical setting

(2008) Saurabh Lodha et al.   JOURNAL OF CUTANEOUS PATHOLOGY