AIMC Topic: Skin Neoplasms

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Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning.

Journal of the American Academy of Dermatology Jan 8, 2024
Deep Learning Melanoma Skin Neoplasms Dermoscopy Humans Algorithms
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Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes.

Annals of clinical and laboratory science Jan 4, 2024
OBJECTIVE: Deep learning has been shown to be useful in detecting breast cancer metastases by analyzing whole slide images (WSI) of sentinel lymph nodes; however, it requires extensive analysis of all the lymph node slides. Our deep learning study at...
Sentinel Lymph Node Humans Melanoma Breast Neoplasms Skin Neoplasms Female Deep Learning
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Artificial intelligence in the detection of skin cancer: State of the art.

Clinics in dermatology Jan 3, 2024
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if detected early. For this reason, various systems of skin lesion image analysis, which support imaging diagnostics of this neoplasm, are developing very dynamically. ...
Humans Artificial Intelligence Skin Neoplasms Dermoscopy Smartphone Algorithms Melanoma
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Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence.

Journal of the European Academy of Dermatology and Venereology : JEADV Dec 29, 2023
BACKGROUND: Deep-learning convolutional neural networks (CNNs) have outperformed even experienced dermatologists in dermoscopic melanoma detection under controlled conditions. It remains unexplored how real-world dermoscopic image transformations aff...
Melanoma Skin Neoplasms Reproducibility of Results Aged Dermoscopy Prospective Studies Female Humans Dysplastic Nevus Syndrome Neural Networks, Computer Middle Aged Adult Risk Assessment Male Deep Learning
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Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians.

Nature biomedical engineering Dec 28, 2023
The inferences of most machine-learning models powering medical artificial intelligence are difficult to interpret. Here we report a general framework for model auditing that combines insights from medical experts with a highly expressive form of exp...
Image Processing, Computer-Assisted Skin Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Humans Physicians Machine Learning Melanoma Algorithms Artificial Intelligence
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SkinViT: A transformer based method for Melanoma and Nonmelanoma classification.

PloS one Dec 27, 2023
Over the past few decades, skin cancer has emerged as a major global health concern. The efficacy of skin cancer treatment greatly depends upon early diagnosis and effective treatment. The automated classification of Melanoma and Nonmelanoma is quite...
Carcinoma, Basal Cell Melanoma Humans Dermoscopy Skin Neoplasms Carcinoma, Squamous Cell Artificial Intelligence
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Bridging AI development with clinical relevance-A scoping review of skin cancer models since CLEAR Derm. Where to next?

The Australasian journal of dermatology Dec 25, 2023
Disease Models, Animal Clinical Relevance Skin Neoplasms Animals Humans Artificial Intelligence
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An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma.

Scientific reports Dec 14, 2023
When the mutation affects the melanocytes of the body, a condition called melanoma results which is one of the deadliest skin cancers. Early detection of cutaneous melanoma is vital for raising the chances of survival. Melanoma can be due to inherite...
Humans Diagnosis, Computer-Assisted Deep Learning Melanocytes Melanoma Skin Neoplasms
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Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check.

The Journal of investigative dermatology Nov 18, 2023
The field of skin cancer detection offers a compelling use case for the application of artificial intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis of large datasets, AI algorithms have the capacity to classi...
Skin Neoplasms Skin Image Interpretation, Computer-Assisted Artificial Intelligence Algorithms Humans
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Deep learning based histological classification of adnex tumors.

European journal of cancer (Oxford, England : 1990) Nov 15, 2023
BACKGROUND: Cutaneous adnexal tumors are a diverse group of tumors arising from structures of the hair appendages. Although often benign, malignant entities occur which can metastasize and lead to patients´ death. Correct diagnosis is critical to ens...
Skin Neoplasms Deep Learning Artificial Intelligence Algorithms Humans Neural Networks, Computer
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