AIMC Topic: Skin Neoplasms

Clear Filters Showing 31 to 40 of 485 articles

A robust deep learning framework for multiclass skin cancer classification.

Scientific reports Feb 10, 2025
Skin cancer represents a significant global health concern, where early and precise diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates. Nonetheless, the inherent visual similarities between benign and malignant ...
Deep Learning Neural Networks, Computer Skin Neoplasms Humans
View on PubMed DOI

Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model.

Scientific reports Feb 9, 2025
Skin cancer is a prevalent health concern, and accurate segmentation of skin lesions is crucial for early diagnosis. Existing methods for skin lesion segmentation often face trade-offs between efficiency and feature extraction capabilities. This pape...
Skin Deep Learning Image Processing, Computer-Assisted Humans Algorithms Skin Neoplasms Neural Networks, Computer
View on PubMed DOI

Machine learning predicts selected cat diseases using insurance data amid challenges in interpretability.

American journal of veterinary research Feb 7, 2025
OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insurance data and to evaluate their predictive performance.
Cat Diseases Female Periodontal Diseases Skin Neoplasms Male Cats Machine Learning Animals Insurance, Health
View on PubMed DOI

A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.

Scientific reports Feb 7, 2025
Accurately and early diagnosis of melanoma is one of the challenging tasks due to its unique characteristics and different shapes of skin lesions. So, in order to solve this issue, the current study examines various deep learning-based approaches and...
Humans Neural Networks, Computer Melanoma Skin Neoplasms Dermoscopy Machine Learning Algorithms Bayes Theorem Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification.

Microscopy research and technique Jan 31, 2025
Skin cancer is recognized as one of the most harmful cancers worldwide. Early detection of this cancer is an effective measure for treating the disease efficiently. Traditional skin cancer detection methods face scalability challenges and overfitting...
Humans Neural Networks, Computer Sensitivity and Specificity Deep Learning Convolutional Neural Networks Algorithms Skin Neoplasms
View on PubMed DOI

Towards unbiased skin cancer classification using deep feature fusion.

BMC medical informatics and decision making Jan 31, 2025
This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the detection and automatic classification of potentially malignant skin cancer conditions. SWNet optimizes feature extraction through multiple pathways, emph...
Melanoma Skin Neoplasms Deep Learning Humans Image Interpretation, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study.

JMIR cancer Jan 28, 2025
BACKGROUND: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial ...
Interviews as Topic Primary Health Care Early Detection of Cancer Male Artificial Intelligence Middle Aged Female Qualitative Research Skin Neoplasms Humans Aged Adult
View on PubMed DOI

LiteMamba-Bound: A lightweight Mamba-based model with boundary-aware and normalized active contour loss for skin lesion segmentation.

Methods (San Diego, Calif.) Jan 27, 2025
In the field of medical science, skin segmentation has gained significant importance, particularly in dermatology and skin cancer research. This domain demands high precision in distinguishing critical regions (such as lesions or moles) from healthy ...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Algorithms Image Processing, Computer-Assisted Skin Neoplasms Skin
View on PubMed DOI

Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection.

Sensors (Basel, Switzerland) Jan 21, 2025
The most deadly type of skin cancer is melanoma. A visual examination does not provide an accurate diagnosis of melanoma during its early to middle stages. Therefore, an automated model could be developed that assists with early skin cancer detection...
Skin Neoplasms Algorithms Deep Learning Diagnosis, Computer-Assisted Dermoscopy Humans Melanoma Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Minimal sourced and lightweight federated transfer learning models for skin cancer detection.

Scientific reports Jan 21, 2025
One of the most fatal diseases that affect people is skin cancer. Because nevus and melanoma lesions are so similar and there is a high likelihood of false negative diagnoses challenges in hospitals. The aim of this paper is to propose and develop a ...
Deep Learning Humans Melanoma Skin Neoplasms Algorithms
View on PubMed DOI
Popular Topics
Recent Journals