Results 81 to 90 of about 313,991 (115)

An advanced skin lesion segmentation and classification framework using deep learning strategies. [PDF]

Sci Rep
Deepa J, Madhavan P.
europepmc   +1 more source

ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation. [PDF]

Sci Rep
Qamar S, Furqan Qadri S, Alroobaea R, Alshmrani GM, Fazil M, Jiang R.   +5 more
europepmc   +1 more source

DMFF-Net: a multi-scale feature fusion network based on DeepLabV3 for skin lesion segmentation. [PDF]

Front Med (Lausanne)
Jiang T, Wang S, Xu L, Yin J, Zhang L, Zhang Y, Guo J, Zhang P.   +7 more
europepmc   +1 more source

Lightweight UNet with multi-module synergy and dual-domain attention for precise skin lesion segmentation. [PDF]

Sci Rep
Chen C, Li L, Li B, Li H, You Y, Zhou W, Bin Y, Wang Z, Li J, Zhang C.   +9 more
europepmc   +1 more source

Enhancing skin lesion classification using a Tri-Path Attention Stacked Ensemble architecture with Cohen's Kappa Proportioned Averaging. [PDF]

Digit Health
Hasan MS, Efat AH, Bhuiyan JA, Mansia FM.   +3 more
europepmc   +1 more source

Stepwise self-knowledge distillation for skin lesion image classification. [PDF]

Sci Rep
Zheng J, Xie K, Zhang D, Lv Z, Yu X.
europepmc   +1 more source

VMPANet: Vision Mamba Skin Lesion Image Segmentation Model Based on Prompt and Attention Mechanism Fusion. [PDF]

J Imaging
Peng Z, Liu S, Li C.
europepmc   +1 more source

Deep Learning-Based Mpox Skin Lesion Detection and Real-Time Monitoring in a Smart Healthcare System. [PDF]

Diagnostics (Basel)
Alghoraibi H, Alqurashi N, Alotaibi S, Alkhudaydi R, Aldajani B, Batawil J, Alqurashi L, Althagafi A, Thafar MA.   +8 more
europepmc   +1 more source

Primary Care Skin Lesion Referrals Assessed via Teledermatology: A Retrospective Analysis. [PDF]

Cureus
Hamid I, Vandormael I, Atwan A, Mills C.
europepmc   +1 more source