AIMC Topic: Skin Neoplasms

Clear Filters Showing 51 to 60 of 485 articles

The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study.

JMIR dermatology Dec 18, 2024
BACKGROUND: Thus far, considerable research has been focused on classifying a lesion as benign or malignant. However, there is a requirement for quick depth estimation of a lesion for the accurate clinical staging of the lesion. The lesion could be m...
Skin Diseases Melanoma Holography Skin Neoplasms Imaging, Three-Dimensional Humans Neural Networks, Computer
View on PubMed DOI

Artificial intelligence-driven hydrogel microneedle patches integrating 5-fluorouracil inclusion complex-loaded flexible pegylated liposomes for enhanced non-melanoma skin cancer treatment.

International journal of pharmaceutics Dec 13, 2024
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) incorporating 5-FU-hydroxypropyl beta-cyclodextrin inclusion complex-loaded flexible PEGylated liposomes (5-FU-HPβCD-loaded FP-LPs) to enhance treatment ...
Drug Delivery Systems Animals Mice Skin Cell Line, Tumor Hydrogels Needles Fluorouracil Skin Absorption Humans Liposomes 2-Hydroxypropyl-beta-cyclodextrin Polyethylene Glycols Antimetabolites, Antineoplastic Artificial Intelligence Transdermal Patch Administration, Cutaneous Skin Neoplasms
View on PubMed DOI

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.

Journal of the European Academy of Dermatology and Venereology : JEADV Dec 10, 2024
BACKGROUND: Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis being crucial for improved patient outcomes. Dermoscopy and artificial intelligence (AI) hold promise in enhancing diagnostic accuracy. How...
Humans Neural Networks, Computer Sensitivity and Specificity Cross-Sectional Studies Deep Learning Skin Neoplasms Dermoscopy
View on PubMed DOI

Dual scale light weight cross attention transformer for skin lesion classification.

PloS one Dec 6, 2024
Skin cancer is rapidly growing globally. In the past decade, an automated diagnosis system has been developed using image processing and machine learning. The machine learning methods require hand-crafted features, which may affect performance. Recen...
Dermoscopy Image Processing, Computer-Assisted Machine Learning Humans Algorithms Neural Networks, Computer Skin Skin Neoplasms
View on PubMed DOI

Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification.

IEEE journal of biomedical and health informatics Dec 5, 2024
Using Raman spectroscopy (RS) signals for skin cancer tissue classification has recently drawn significant attention, because of its non-invasive optical technique, which uses molecular structures and conformations within biological tissue for diagno...
Skin Spectrum Analysis, Raman Signal Processing, Computer-Assisted Skin Neoplasms Humans Deep Learning
View on PubMed DOI

Going Smaller: Attention-based models for automated melanoma diagnosis.

Computers in biology and medicine Dec 4, 2024
Computational approaches offer a valuable tool to aid with the early diagnosis of melanoma by increasing both the speed and accuracy of doctors' decisions. The latest and best-performing approaches often rely on large ensemble models, with the number...
Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer
View on PubMed DOI

Hybrid deep learning-based skin cancer classification with RPO-SegNet for skin lesion segmentation.

Network (Bristol, England) Dec 3, 2024
Skin melanin lesions are typically identified as tiny patches on the skin, which are impacted by melanocyte cell overgrowth. The number of people with skin cancer is increasing worldwide. Accurate and timely skin cancer identification is critical to ...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Skin Neoplasms
View on PubMed DOI

Detection of basal cell carcinoma by machine learning-assisted ex vivo confocal laser scanning microscopy.

International journal of dermatology Dec 3, 2024
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that enables near real-time histology of whole tissue samples. However, the adoption of EVCM into clinical routine is partly limited because the recognition...
Machine Learning Female Skin Neoplasms Humans Neural Networks, Computer ROC Curve Microscopy, Confocal Proof of Concept Study Carcinoma, Basal Cell Sensitivity and Specificity
View on PubMed DOI

Deep Learning for Automated Segmentation of Basal Cell Carcinoma on Mohs Micrographic Surgery Frozen Section Slides.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Dec 3, 2024
BACKGROUND: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic images. Segmentation models, required for localization of tumor on Mohs surgery (MMS) frozen section slides, have yet to reach clinical utility.
Frozen Sections Mohs Surgery Carcinoma, Basal Cell Sensitivity and Specificity Deep Learning Humans Skin Neoplasms
View on PubMed DOI

Classification of melanoma skin Cancer based on Image Data Set using different neural networks.

Scientific reports Nov 29, 2024
This paper aims to address the pressing issue of melanoma classification by leveraging advanced neural network models, specifically basic Convolutional Neural Networks (CNN), ResNet-18, and EfficientNet-B0. Our objectives encompass presenting and eva...
Skin Neoplasms Image Processing, Computer-Assisted Algorithms Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Melanoma
View on PubMed DOI
Popular Topics
Recent Journals