AIMC Topic: Skin Neoplasms

Clear Filters Showing 61 to 70 of 485 articles

Enhanced MobileNet for skin cancer image classification with fused spatial channel attention mechanism.

Scientific reports Nov 21, 2024
Skin Cancer, which leads to a large number of deaths annually, has been extensively considered as the most lethal tumor around the world. Accurate detection of skin cancer in its early stage can significantly raise the survival rate of patients and r...
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Machine Learning Algorithms Humans Neural Networks, Computer
View on PubMed DOI

Advancing dermoscopy through a synthetic hair benchmark dataset and deep learning-based hair removal.

Journal of biomedical optics Nov 19, 2024
SIGNIFICANCE: Early detection of melanoma is crucial for improving patient outcomes, and dermoscopy is a critical tool for this purpose. However, hair presence in dermoscopic images can obscure important features, complicating the diagnostic process....
Humans Neural Networks, Computer Image Processing, Computer-Assisted Hair Removal Image Interpretation, Computer-Assisted Hair Melanoma Dermoscopy Skin Neoplasms Deep Learning
View on PubMed DOI

Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images.

Sensors (Basel, Switzerland) Nov 12, 2024
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in five Americans. Recent advances have demonstrated strong performance on skin cancer detection, as exemplified by state of the art performance in the ...
Skin Neoplasms Deep Learning Algorithms Melanoma Skin Humans ROC Curve Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset.

Cancer investigation Nov 10, 2024
Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the deadliest potential to spread to other parts of the body among all SCs. For SC treatments to be effective, early detection is essential. The high degree of similarit...
Carcinoma, Basal Cell Deep Learning Melanoma Skin Neoplasms Humans
View on PubMed DOI

Weakly Supervised Classification of Mohs Surgical Sections Using Artificial Intelligence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 9, 2024
Basal cell carcinoma (BCC) is the most frequently diagnosed form of skin cancer, and its incidence continues to rise, particularly among older individuals. This trend puts a significant strain on health care systems, especially in terms of histopatho...
Mohs Surgery Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Artificial Intelligence Carcinoma, Basal Cell Deep Learning Skin Neoplasms
View on PubMed DOI

Enhanced convolutional neural network architecture optimized by improved chameleon swarm algorithm for melanoma detection using dermatological images.

Scientific reports Nov 6, 2024
Early detection and treatment of skin cancer are important for patient recovery and survival. Dermoscopy images can help clinicians for timely identification of cancer, but manual diagnosis is time-consuming, costly, and prone to human error. To cond...
Humans Melanoma Skin Neoplasms Dermoscopy Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer
View on PubMed DOI

Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction.

Journal of biophotonics Oct 27, 2024
Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and computer-aided diagnosis systems have been developed to help find melanoma in its early stages. However, most previous research u...
Deep Learning Melanoma Skin Neoplasms Image Processing, Computer-Assisted Mice Animals Tomography, Optical Coherence Risk Assessment
View on PubMed DOI

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention.

PloS one Oct 24, 2024
Skin lesions encompass a variety of skin abnormalities, including skin diseases that affect structure and function, and skin cancer, which can be fatal and arise from abnormal cell growth. Early detection of lesions and automated prediction is crucia...
Skin Neoplasms Deep Learning Skin Humans Machine Learning Neural Networks, Computer Algorithms
View on PubMed DOI

Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods.

Computers in biology and medicine Oct 23, 2024
Skin cancer is recognized as one of the most perilous diseases globally. In the field of medical image classification, precise identification of early-stage skin lesions is imperative for accurate diagnosis. However, deploying these algorithms on low...
Neural Networks, Computer Algorithms Skin Neoplasms Humans
View on PubMed DOI

Addressing Challenges in Skin Cancer Diagnosis: A Convolutional Swin Transformer Approach.

Journal of imaging informatics in medicine Oct 22, 2024
Skin cancer is one of the top three hazardous cancer types, and it is caused by the abnormal proliferation of tumor cells. Diagnosing skin cancer accurately and early is crucial for saving patients' lives. However, it is a challenging task due to var...
Neural Networks, Computer Humans Skin Neoplasms Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals