184 related articles for article (PubMed ID: 32378058)
21. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
[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. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
24. SEACU-Net: Attentive ConvLSTM U-Net with squeeze-and-excitation layer for skin lesion segmentation.
Jiang X; Jiang J; Wang B; Yu J; Wang J
Comput Methods Programs Biomed; 2022 Oct; 225():107076. PubMed ID: 36027859
[TBL] [Abstract][Full Text] [Related]
25. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Hasan MK; Calvet L; Rabbani N; Bartoli A
Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights.
Kaur R; Hosseini HG; Sinha R
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3035-3038. PubMed ID: 34891883
[TBL] [Abstract][Full Text] [Related]
28. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. SLT-Net: A codec network for skin lesion segmentation.
Feng K; Ren L; Wang G; Wang H; Li Y
Comput Biol Med; 2022 Sep; 148():105942. PubMed ID: 35964466
[TBL] [Abstract][Full Text] [Related]
31. A Novel Multi-Task Learning Network Based on Melanoma Segmentation and Classification with Skin Lesion Images.
Alenezi F; Armghan A; Polat K
Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673072
[TBL] [Abstract][Full Text] [Related]
32. Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.
Yuan Y; Lo YC
IEEE J Biomed Health Inform; 2019 Mar; 23(2):519-526. PubMed ID: 29990146
[TBL] [Abstract][Full Text] [Related]
33. SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation.
Zhang Z; Jiang Y; Qiao H; Wang M; Yan W; Chen J
Comput Biol Med; 2022 Nov; 150():106146. PubMed ID: 36228460
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation.
Liu Q; Wang J; Zuo M; Cao W; Zheng J; Zhao H; Xie J
Comput Biol Med; 2022 Jul; 146():105545. PubMed ID: 35477048
[TBL] [Abstract][Full Text] [Related]
36. HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment.
Han Q; Wang H; Hou M; Weng T; Pei Y; Li Z; Chen G; Tian Y; Qiu Z
Comput Biol Med; 2023 Jan; 152():106343. PubMed ID: 36481758
[TBL] [Abstract][Full Text] [Related]
37. Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding.
Garcia-Arroyo JL; Garcia-Zapirain B
Comput Methods Programs Biomed; 2019 Jan; 168():11-19. PubMed ID: 30527129
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Skin Lesion Segmentation in Dermoscopic Images with Noisy Data.
Lama N; Hagerty J; Nambisan A; Stanley RJ; Van Stoecker W
J Digit Imaging; 2023 Aug; 36(4):1712-1722. PubMed ID: 37020149
[TBL] [Abstract][Full Text] [Related]
40. MHAU-Net: Skin Lesion Segmentation Based on Multi-Scale Hybrid Residual Attention Network.
Li Y; Xu C; Han J; An Z; Wang D; Ma H; Liu C
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433298
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
