AIMC Topic: Skin Neoplasms

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A survey on deep learning for skin lesion segmentation.

Medical image analysis Jun 9, 2023
Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is an important step toward achieving this goal. However, the presence of ...
Skin Diseases Neural Networks, Computer Skin Neoplasms Deep Learning Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Humans
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Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases.

EBioMedicine Jun 7, 2023
BACKGROUND: Recent advances in digital pathology have enabled accurate and standardised enumeration of tumour-infiltrating lymphocytes (TILs). Here, we aim to evaluate TILs as a percentage electronic TIL score (eTILs) and investigate its prognostic a...
Prognosis Melanoma Lymphocytes, Tumor-Infiltrating Neoplasm Recurrence, Local Humans Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning
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Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare.

Journal of cancer research and clinical oncology May 2, 2023
BACKGROUND AND OBJECTIVES: Skin conditions in humans can be challenging to diagnose. Skin cancer manifests itself without warning. In the future, these illnesses, which have been an issue for many, will be identified and treated. With the rapid expan...
Algorithms Delivery of Health Care Skin Neoplasms Humans Fuzzy Logic Big Data Support Vector Machine
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Deep learning detection of melanoma metastases in lymph nodes.

European journal of cancer (Oxford, England : 1990) Apr 29, 2023
BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel lymph node (SLN), is a routine procedure to evaluate lymphogenic metastases. Metastasis detection by histopathological analysis assesses multiple tissu...
Lymphatic Metastasis Lymph Node Excision Sentinel Lymph Node Biopsy Lymphadenopathy Lymph Nodes Artificial Intelligence Skin Neoplasms Melanoma Deep Learning Humans
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Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis.

Artificial intelligence in medicine Apr 28, 2023
Early melanoma diagnosis is the most important factor in the treatment of skin cancer and can effectively reduce mortality rates. Recently, Generative Adversarial Networks have been used to augment data, prevent overfitting and improve the diagnostic...
Skin Neoplasms Deep Learning Algorithms Humans Melanoma Neural Networks, Computer
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Deep learning-based semantic segmentation of non-melanocytic skin tumors in whole-slide histopathological images.

Experimental dermatology Apr 5, 2023
Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) are the two most common skin cancer and impose a huge medical burden on society. Histopathological examination based on whole-slide images (WSIs) remains to be the confirmatory diagnostic m...
Deep Learning Image Processing, Computer-Assisted Carcinoma, Basal Cell Carcinoma, Squamous Cell Semantics Humans Skin Neoplasms
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A Two-Stage End-to-End Deep Learning Framework for Pathologic Examination in Skin Tumor Diagnosis.

The American journal of pathology Mar 2, 2023
Neurofibromas (NFs), Bowen disease (BD), and seborrheic keratosis (SK) are common skin tumors. Pathologic examination is the gold standard for diagnosis of these tumors. Current pathologic diagnosis is primarily based on microscopic observation, whic...
Neural Networks, Computer Artificial Intelligence Skin Neoplasms Deep Learning Algorithms Humans
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Gene-environment interaction analysis via deep learning.

Genetic epidemiology Feb 19, 2023
Gene-environment (G-E) interaction analysis plays an important role in studying complex diseases. Extensive methodological research has been conducted on G-E interaction analysis, and the existing methods are mostly based on regression techniques. In...
Gene-Environment Interaction Models, Genetic Melanoma, Cutaneous Malignant Melanoma Skin Neoplasms Humans Deep Learning
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A deep-learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections.

Journal of the European Academy of Dermatology and Venereology : JEADV Jan 24, 2023
Deep Learning Frozen Sections Skin Neoplasms Carcinoma, Basal Cell Humans Mohs Surgery
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Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.

Neural networks : the official journal of the International Neural Network Society Jan 24, 2023
BACKGROUND: The idea of smart healthcare has gradually gained attention as a result of the information technology industry's rapid development. Smart healthcare uses next-generation technologies i.e., artificial intelligence (AI) and Internet of Thin...
Melanoma Skin Neoplasms Algorithms Deep Learning Dermoscopy Delivery of Health Care Humans Artificial Intelligence
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