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Cancer

Last data update: Mar 25, 2023. (Total: 58925 Documents since 2012)
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Clinical Application of Artificial Intelligence for Non-melanoma Skin Cancer.
Katherine Sanchez et al. Current treatment options in oncology 2023 1-7
Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks.
Anand K Nambisan et al. Cancers 2023 15(4)
Machine learning to predict overall short-term mortality in cutaneous melanoma.
C Cozzolino et al. Discover. Oncology 2023 14(1) 13
Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare.
Kleinberg Giona et al. Journal of biomed research 2023 3(1) 42-47
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers.
Jin Wenyi et al. Frontiers in immunology 2022 131025330
Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
Foahom Gouabou Arthur Cartel et al. International journal of molecular sciences 2022 23(22)
Prediction of early-stage melanoma recurrence using clinical and histopathologic features.
Wan Guihong et al. NPJ precision oncology 2022 6(1) 79
Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach.
Bassel Atheer et al. Diagnostics (Basel, Switzerland) 2022 12(10)
Artificial Intelligence in Dermatology: Challenges and Perspectives.
Liopyris Konstantinos et al. Dermatology and therapy 2022
Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review.
Li Suli et al. Mediators of inflammation 2022 20221734327
A Self-Supervised Learning Based Framework for Eyelid Malignant Melanoma Diagnosis in Whole Slide Images.
Jiang Zijing et al. IEEE/ACM transactions on computational biology and bioinformatics 2022 PP
An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics.
Liu Wenhui et al. Journal of plastic, reconstructive & aesthetic surgery : JPRAS 2022
Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.
Jahn Anna Sophie et al. Cancers 2022 14(15)
Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers.
Alyami Jaber et al. Microscopy research and technique 2022
Development and validation of the interpretability analysis system based on deep learning model for smart image follow-up of nail pigmentation.
Chen Yanqing et al. Annals of translational medicine 2022 10(10) 551
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.
Jones O T et al. The Lancet. Digital health 2022 4(6) e466-e476
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia Marc et al. The Lancet. Digital health 2022 4(5) e330-e339
A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models.
Alfi Iftiaz A et al. Diagnostics (Basel, Switzerland) 2022 12(3)
Machine learning directed sentinel lymph node biopsy in cutaneous head and neck melanoma.
Oliver Jamie R et al. Head & neck 2022
Artificial Intelligence in the Evaluation of Telemedicine Dermatology Patients.
Majidian Mandy et al. Journal of drugs in dermatology : JDD 2022 21(2) 191-194
Early Readout on Overall Survival of Patients With Melanoma Treated With Immunotherapy Using a Novel Imaging Analysis.
Dercle Laurent et al. JAMA oncology 2022
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions.
Lucieri Adriano et al. Computer methods and programs in biomedicine 2022 215106620
Characterizing Malignant Melanoma Clinically Resembling Seborrheic Keratosis Using Deep Knowledge Transfer.
Spyridonos Panagiota et al. Cancers 2021 13(24)
Assessment of a Diagnostic Classification System for Management of Lesions to Exclude Melanoma.
Katz Ian et al. JAMA network open 2021 4(12) e2134614
Evaluation of a smartphone application for diagnosis of skin diseases.
Mikolajczyk Maksym et al. Postepy dermatologii i alergologii 2021 38(5) 761-766
Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma.
Zenone M et al. Journal of the European Academy of Dermatology and Venereology : JEADV 2021
Automated Diagnosis and Localization of Melanoma from Skin Histopathology Slides Using Deep Learning: A Multicenter Study.
Li Tao et al. Journal of healthcare engineering 2021 20215972962
Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning.
Yang Charles Q et al. PloS one 2021 16(9) e0257949
Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.
Giavina-Bianchi Mara et al. PloS one 2021 16(9) e0257006
Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.
Wang Sutong et al. IEEE transactions on cybernetics 2021 PP
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