716 related articles for article (PubMed ID: 31837637)
21. PMJAF-Net: Pyramidal multi-scale joint attention and adaptive fusion network for explainable skin lesion segmentation.
Li H; Zeng P; Bai C; Wang W; Yu Y; Yu P
Comput Biol Med; 2023 Oct; 165():107454. PubMed ID: 37716246
[TBL] [Abstract][Full Text] [Related]
22. Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.
Rehman M; Ali M; Obayya M; Asghar J; Hussain L; K Nour M; Negm N; Mustafa Hilal A
PLoS One; 2022; 17(11):e0275781. PubMed ID: 36355845
[TBL] [Abstract][Full Text] [Related]
23. HMA-Net: A deep U-shaped network combined with HarDNet and multi-attention mechanism for medical image segmentation.
Liu Q; Han Z; Liu Z; Zhang J
Med Phys; 2023 Mar; 50(3):1635-1646. PubMed ID: 36303466
[TBL] [Abstract][Full Text] [Related]
24. A rotation meanout network with invariance for dermoscopy image classification and retrieval.
Zhang Y; Xie F; Song X; Zhou H; Yang Y; Zhang H; Liu J
Comput Biol Med; 2022 Dec; 151(Pt A):106272. PubMed ID: 36368111
[TBL] [Abstract][Full Text] [Related]
25. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
26. Dense pooling layers in fully convolutional network for skin lesion segmentation.
Nasr-Esfahani E; Rafiei S; Jafari MH; Karimi N; Wrobel JS; Samavi S; Reza Soroushmehr SM
Comput Med Imaging Graph; 2019 Dec; 78():101658. PubMed ID: 31634739
[TBL] [Abstract][Full Text] [Related]
27. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
28. Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.
He X; Yu Z; Wang T; Lei B; Shi Y
Technol Health Care; 2018; 26(S1):307-316. PubMed ID: 29758959
[TBL] [Abstract][Full Text] [Related]
29. DSNet: Automatic dermoscopic skin lesion segmentation.
Hasan MK; Dahal L; Samarakoon PN; Tushar FI; Martí R
Comput Biol Med; 2020 May; 120():103738. PubMed ID: 32421644
[TBL] [Abstract][Full Text] [Related]
30. ACCPG-Net: A skin lesion segmentation network with Adaptive Channel-Context-Aware Pyramid Attention and Global Feature Fusion.
Zhang W; Lu F; Zhao W; Hu Y; Su H; Yuan M
Comput Biol Med; 2023 Mar; 154():106580. PubMed ID: 36716686
[TBL] [Abstract][Full Text] [Related]
31. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
Alsaade FW; Aldhyani THH; Al-Adhaileh MH
Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
[TBL] [Abstract][Full Text] [Related]
32. Modified U-NET Architecture for Segmentation of Skin Lesion.
Anand V; Gupta S; Koundal D; Nayak SR; Barsocchi P; Bhoi AK
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161613
[TBL] [Abstract][Full Text] [Related]
33. Hyper-fusion network for semi-automatic segmentation of skin lesions.
Bi L; Fulham M; Kim J
Med Image Anal; 2022 Feb; 76():102334. PubMed ID: 34923251
[TBL] [Abstract][Full Text] [Related]
34. Simplification of neural networks for skin lesion image segmentation using color channel pruning.
Hajabdollahi M; Esfandiarpoor R; Khadivi P; Soroushmehr SMR; Karimi N; Samavi S
Comput Med Imaging Graph; 2020 Jun; 82():101729. PubMed ID: 32442735
[TBL] [Abstract][Full Text] [Related]
35. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
Kaur R; GholamHosseini H; Sinha R; Lindén M
BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
[TBL] [Abstract][Full Text] [Related]
36. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
Xie Y; Zhang J; Xia Y; Shen C
IEEE Trans Med Imaging; 2020 Jul; 39(7):2482-2493. PubMed ID: 32070946
[TBL] [Abstract][Full Text] [Related]
37. Dense Deconvolutional Network for Skin Lesion Segmentation.
Li H; He X; Zhou F; Yu Z; Ni D; Chen S; Wang T; Lei B
IEEE J Biomed Health Inform; 2019 Mar; 23(2):527-537. PubMed ID: 30047917
[TBL] [Abstract][Full Text] [Related]
38. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
Pathan S; Prabhu KG; Siddalingaswamy PC
Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
[TBL] [Abstract][Full Text] [Related]
39. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
40. Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet.
Du W; Rao N; Yong J; Adjei PE; Hu X; Wang X; Gan T; Zhu L; Zeng B; Liu M; Xu Y
Comput Methods Programs Biomed; 2023 Apr; 231():107397. PubMed ID: 36753915
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
