743 related articles for article (PubMed ID: 34304370)
21. 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]
22. 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]
23. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance.
Yuan Y; Chao M; Lo YC
IEEE Trans Med Imaging; 2017 Sep; 36(9):1876-1886. PubMed ID: 28436853
[TBL] [Abstract][Full Text] [Related]
24. Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization.
Qin C; Zheng B; Zeng J; Chen Z; Zhai Y; Genovese A; Piuri V; Scotti F
Comput Methods Programs Biomed; 2023 Aug; 238():107601. PubMed ID: 37210926
[TBL] [Abstract][Full Text] [Related]
25. 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]
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. Fusing fine-tuned deep features for skin lesion classification.
Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. 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]
30. 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]
31. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks.
Kim CI; Hwang SM; Park EB; Won CH; Lee JH
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450993
[TBL] [Abstract][Full Text] [Related]
32. An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.
Li H; Iwamoto Y; Han X; Furukawa A; Kanasaki S; Chen YW
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3309-3312. PubMed ID: 34891948
[TBL] [Abstract][Full Text] [Related]
33. Melanoma segmentation based on deep learning.
Zhang X
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):267-277. PubMed ID: 29043858
[TBL] [Abstract][Full Text] [Related]
34. Skin Lesion Segmentation with Improved Convolutional Neural Network.
Öztürk Ş; Özkaya U
J Digit Imaging; 2020 Aug; 33(4):958-970. PubMed ID: 32378058
[TBL] [Abstract][Full Text] [Related]
35. Automatic skin lesion segmentation based on FC-DPN.
Shan P; Wang Y; Fu C; Song W; Chen J
Comput Biol Med; 2020 Aug; 123():103762. PubMed ID: 32768035
[TBL] [Abstract][Full Text] [Related]
36. Attention-Guided Network with Densely Connected Convolution for Skin Lesion Segmentation.
Tao S; Jiang Y; Cao S; Wu C; Ma Z
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34065771
[TBL] [Abstract][Full Text] [Related]
37. HMT-Net: Transformer and MLP Hybrid Encoder for Skin Disease Segmentation.
Yang S; Wang L
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991777
[TBL] [Abstract][Full Text] [Related]
38. The effects of skin lesion segmentation on the performance of dermatoscopic image classification.
Mahbod A; Tschandl P; Langs G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Dec; 197():105725. PubMed ID: 32882594
[TBL] [Abstract][Full Text] [Related]
39. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.
Kawahara J; Hamarneh G
IEEE J Biomed Health Inform; 2019 Mar; 23(2):578-585. PubMed ID: 29994053
[TBL] [Abstract][Full Text] [Related]
40. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.
Yu L; Chen H; Dou Q; Qin J; Heng PA
IEEE Trans Med Imaging; 2017 Apr; 36(4):994-1004. PubMed ID: 28026754
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
