482 related articles for article (PubMed ID: 35379228)
1. MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network.
Ali H; Haq IU; Cui L; Feng J
BMC Med Inform Decis Mak; 2022 Apr; 22(1):90. PubMed ID: 35379228
[TBL] [Abstract][Full Text] [Related]
2. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J
Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012
[TBL] [Abstract][Full Text] [Related]
3. MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information.
Liu X; Guo Z; Cao J; Tang J
Comput Biol Med; 2021 Aug; 135():104543. PubMed ID: 34146800
[TBL] [Abstract][Full Text] [Related]
4. IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.
Chen S; Zou Y; Liu PX
Comput Biol Med; 2021 Aug; 135():104551. PubMed ID: 34157471
[TBL] [Abstract][Full Text] [Related]
5. TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.
Fu Y; Liu J; Shi J
Comput Biol Med; 2024 Mar; 170():107938. PubMed ID: 38219644
[TBL] [Abstract][Full Text] [Related]
6. Boundary-aware context neural network for medical image segmentation.
Wang R; Chen S; Ji C; Fan J; Li Y
Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
[TBL] [Abstract][Full Text] [Related]
7. GC-Net: Global context network for medical image segmentation.
Ni J; Wu J; Tong J; Chen Z; Zhao J
Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
[TBL] [Abstract][Full Text] [Related]
8. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
9. AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation.
Zhao J; He YJ; Zhao SQ; Huang JJ; Zuo WM
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2693-2702. PubMed ID: 34928808
[TBL] [Abstract][Full Text] [Related]
10. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
[TBL] [Abstract][Full Text] [Related]
11. Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.
Gudhe NR; Kosma VM; Behravan H; Mannermaa A
BMC Med Imaging; 2023 Oct; 23(1):162. PubMed ID: 37858043
[TBL] [Abstract][Full Text] [Related]
12. DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images.
Kiran I; Raza B; Ijaz A; Khan MA
Comput Biol Med; 2022 Apr; 143():105267. PubMed ID: 35114445
[TBL] [Abstract][Full Text] [Related]
13. SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images.
Chen J; Yang G; Liu A; Chen X; Liu J
Comput Biol Med; 2024 Mar; 171():108131. PubMed ID: 38447498
[TBL] [Abstract][Full Text] [Related]
14. A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.
Hussain E; Mahanta LB; Das CR; Choudhury M; Chowdhury M
Artif Intell Med; 2020 Jul; 107():101897. PubMed ID: 32828445
[TBL] [Abstract][Full Text] [Related]
15. SC-Net: Symmetrical conical network for colorectal pathology image segmentation.
Zhang G; He Z; Zhang Y; Li Z; Wu L
Comput Methods Programs Biomed; 2024 May; 248():108119. PubMed ID: 38520785
[TBL] [Abstract][Full Text] [Related]
16. ADR-Net: Context extraction network based on M-Net for medical image segmentation.
Ji L; Jiang X; Gao Y; Fang Z; Cai Q; Wei Z
Med Phys; 2020 Sep; 47(9):4254-4264. PubMed ID: 32602963
[TBL] [Abstract][Full Text] [Related]
17. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
18. Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images.
Aatresh AA; Yatgiri RP; Chanchal AK; Kumar A; Ravi A; Das D; Bs R; Lal S; Kini J
Comput Med Imaging Graph; 2021 Oct; 93():101975. PubMed ID: 34461375
[TBL] [Abstract][Full Text] [Related]
19. GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition.
Dai J; Liu T; Torigian DA; Tong Y; Han S; Nie P; Zhang J; Li R; Xie F; Udupa JK
Med Image Anal; 2024 Jan; 91():102987. PubMed ID: 37837691
[TBL] [Abstract][Full Text] [Related]
20. High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images.
Chanchal AK; Lal S; Kini J
Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2159-2175. PubMed ID: 34622381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
