AIMC Topic: Carcinoma, Basal Cell

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Classification of Basal Cell Carcinoma in Ex Vivo Confocal Microscopy Images from Freshly Excised Tissues Using a Deep Learning Algorithm.

The Journal of investigative dermatology Oct 23, 2021
Ex vivo confocal microscopy (EVCM) generates digitally colored purple-pink images similar to H&E without time-consuming tissue processing. It can be used during Mohs surgery for rapid detection of basal cell carcinoma (BCC); however, reading EVCM ima...
Carcinoma, Basal Cell Deep Learning Microscopy, Confocal Mohs Surgery Humans Skin Neoplasms
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An Evolutionary Approach for the Enhancement of Dermatological Images and Their Classification Using Deep Learning Models.

Journal of healthcare engineering Jul 15, 2021
Dermatological problems are the most widely spread skin diseases amongst human beings. They can be infectious, chronic, and sometimes may also lead to serious health problems such as skin cancer. Generally, rural area clinics lack trained dermatologi...
Humans Skin Neoplasms Carcinoma, Basal Cell Deep Learning Neural Networks, Computer Melanoma
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Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Jul 13, 2021
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...
Microscopy, Confocal Biopsy Models, Biological Automation Skin Neoplasms Male Carcinoma, Basal Cell Middle Aged Physical Examination Dermoscopy Deep Learning Humans Aged, 80 and over Reproducibility of Results Artificial Intelligence Adult Aged Female
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Domain adaptation and self-supervised learning for surgical margin detection.

International journal of computer assisted radiology and surgery May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Carcinoma, Basal Cell Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Algorithms Female Skin Neoplasms Mastectomy Supervised Machine Learning Calibration Operating Rooms Area Under Curve Skin Breast Humans Machine Learning Stochastic Processes Margins of Excision Mastectomy, Segmental
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Whole-slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma.

Experimental dermatology Mar 3, 2021
BACKGROUND: Basal cell carcinoma (BCC) is the most common type of skin cancer with incidence rates rising each year. Mohs micrographic surgery (MMS) is most often chosen as treatment for BCC on the face for which each frozen section has to be histolo...
Carcinoma, Basal Cell Deep Learning Neoplasm Invasiveness Margins of Excision Mohs Surgery Humans Skin Neoplasms
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Artificial intelligence in dermatopathology: Diagnosis, education, and research.

Journal of cutaneous pathology Jan 26, 2021
Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelligence. Convolutional neural networks, a type of deep learning AI, can classify basal cell carcinoma, seborrheic keratosis, and conventional nevi, high...
Keratosis, Seborrheic Observer Variation Pathology Nevus Melanoma Artificial Intelligence Algorithms Humans Dermatology Skin Neoplasms Machine Learning Deep Learning Research Carcinoma, Basal Cell Diagnostic Tests, Routine Neural Networks, Computer Diagnosis, Differential
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Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 13, 2020
Recent advances in artificial intelligence, particularly in the field of deep learning, have enabled researchers to create compelling algorithms for medical image analysis. Histological slides of basal cell carcinomas (BCCs), the most frequent skin t...
Skin Pathologists Algorithms Skin Neoplasms Carcinoma, Basal Cell Humans Neural Networks, Computer Machine Learning
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Performance of a deep learning-based application for the diagnosis of basal cell carcinoma in Indian patients as compared to dermatologists and nondermatologists.

International journal of dermatology Oct 11, 2020
Carcinoma, Basal Cell Dermatologists Deep Learning Humans Dermatology Skin Neoplasms
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A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Sep 11, 2020
Carcinoma, Basal Cell Deep Learning Frozen Sections Humans Skin Neoplasms Mohs Surgery
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A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Jun 23, 2020
Carcinoma, Basal Cell Mohs Surgery Humans Proof of Concept Study ROC Curve Deep Learning Retrospective Studies Pilot Projects Frozen Sections Image Interpretation, Computer-Assisted Skin Skin Neoplasms False Negative Reactions Feasibility Studies
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