过去一年中添加的文章,按日期排序

[HTML][HTML] An effective multiclass skin cancer classification approach based on deep convolutional neural network

EH Houssein, DA Abdelkareem, G Hu, MA Hameed… - Cluster …, 2024 - Springer
8 天前 - … The experimental results demonstrate that the proposed DCNN model outperforms
other deep learning (DL) models that utilized these datasets. The proposed DCNN model …

A novel deep learning framework for accurate melanoma diagnosis integrating imaging and genomic data for improved patient outcomes

A Kiran, N Narayanasamy… - Skin Research and …, 2024 - Wiley Online Library
8 天前 - … more accurate and more profound diagnoses of skin cancers like melanoma. This
is the first concept in melanoma diagnosis, using deep learning and multi-modal to break the …

Comparison of CNNs and ViTs for the Detection of Human Skin Lesions

N Sánchez-Medel, V Romero-Bautista… - Mexican Conference on …, 2024 - Springer
8 天前 - … 1.1 Deep Learning This work employs deep learning models inspired by the workings
… to analyze moles and skin lesions suspected of developing into skin cancer. The main …

[HTML][HTML] Integrating Principal Component Analysis and Multi-Input Convolutional Neural Networks for Advanced Skin Lesion Cancer Classification

R Madinakhon, D Mukhtorov, YI Cho - Applied Sciences, 2024 - mdpi.com
8 天前 - Skin cancer is one of the most common cancers worldwide… skin cancers and
132,000 melanoma skin cancersdeep learning model, focusing on the unique demands of …

Non-Invasive Detection of Early-Stage Fatty Liver Disease via an On-Skin Impedance Sensor and Attention-Based Deep Learning

K Wang, S Margolis, JM Cho, S Wang… - Advanced science … - pubmed.ncbi.nlm.nih.gov
8 天前 - … on-skin sensor with low electrode-skin contact impedance and the attention-based
deep learning … for improved early detection through on-skin electronics and deep learning. …

Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification

T Wei, Y Huang, L Lin, P Cheng, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
9 天前 - … With the advent and development of deep learning, substantial advancements have
… However, supervised deep learning methods usually require balanced training datasets. …

Segment Anything: GPT-3 and Logistic Regression Approach for Skin Cancer Detection

VNVS Harsha, SR Chintalapudi… - Algorithms in Advanced …, 2024 - books.google.com
10 天前 - … Anything: The GPT-3 of Computer Vision and logistic regression, as well as their
potential Deep Learning application to the classification complex associated with skin cancer. …

[PDF][PDF] STATISTICAL MACHINE LEARNING FOR GENE EXPRESSION DATA RELATED TO EARLY CANCER DETECTION

DK BONNEY - researchgate.net
10 天前 - … , prostate cancer, colorectal cancer, skin cancer (such as … in machine learning
techniques, including deep learning … accuracy and performance in cancer classification tasks. …

RWHO: A hybrid of CNN architecture and optimization algorithm to predict basal cell carcinoma skin cancer in dermoscopic images

T Kanimozhi, V Rajeswari, R Suguna… - The Scientific …, 2024 - scientifictemper.com
10 天前 - skin cancer that initiates from the epithelial cells of our skin. Compared to other forms
of … -aided diagnosis system using deep learning was proposed for early discovery of skin

[PDF][PDF] A YOLO-Powered Deep Learning Approach to Psoriasis Classification

A Goswami, N Sharma - 2024 - researchgate.net
10 天前 - … such as skin cancer or Psoriasis, which is a persistent inflammatory skin disorder
affecting … In contrast, machine learning and deep learning, subsets of artificial intelligence, are …