513 related articles for article (PubMed ID: 36179516)
1. MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images.
Dabass M; Vashisth S; Vig R
Comput Biol Med; 2022 Nov; 150():106095. PubMed ID: 36179516
[TBL] [Abstract][Full Text] [Related]
2. An Atrous Convolved Hybrid Seg-Net Model with residual and attention mechanism for gland detection and segmentation in histopathological images.
Dabass M; Dabass J
Comput Biol Med; 2023 Mar; 155():106690. PubMed ID: 36827788
[TBL] [Abstract][Full Text] [Related]
3. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.
Dabass M; Vashisth S; Vig R
Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654
[TBL] [Abstract][Full Text] [Related]
4. VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images.
Zhang S; Yuan Z; Zhou X; Wang H; Chen B; Wang Y
Comput Methods Programs Biomed; 2024 Jun; 250():108178. PubMed ID: 38652995
[TBL] [Abstract][Full Text] [Related]
5. Enhancing gland segmentation in colon histology images using an instance-aware diffusion model.
Sun M; Wang J; Gong Q; Huang W
Comput Biol Med; 2023 Nov; 166():107527. PubMed ID: 37778210
[TBL] [Abstract][Full Text] [Related]
6. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
7. MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Graham S; Chen H; Gamper J; Dou Q; Heng PA; Snead D; Tsang YW; Rajpoot N
Med Image Anal; 2019 Feb; 52():199-211. PubMed ID: 30594772
[TBL] [Abstract][Full Text] [Related]
8. SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation.
Zhao P; Zhang J; Fang W; Deng S
Front Bioeng Biotechnol; 2020; 8():670. PubMed ID: 32719781
[TBL] [Abstract][Full Text] [Related]
9. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
[TBL] [Abstract][Full Text] [Related]
10. A cell image segmentation method based on edge feature residual fusion.
Du J; Zhang Y; Jin X; Zhang X
Methods; 2023 Nov; 219():111-118. PubMed ID: 37774961
[TBL] [Abstract][Full Text] [Related]
11. DARMF-UNet: A dual-branch attention-guided refinement network with multi-scale features fusion U-Net for gland segmentation.
Sun J; Zhang X; Li X; Liu R; Wang T
Comput Biol Med; 2023 Sep; 163():107218. PubMed ID: 37393784
[TBL] [Abstract][Full Text] [Related]
12. GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation.
Wen Z; Feng R; Liu J; Li Y; Ying S
IEEE J Biomed Health Inform; 2021 Apr; 25(4):1185-1196. PubMed ID: 32780703
[TBL] [Abstract][Full Text] [Related]
13. Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions.
Rathore S; Iftikhar MA; Chaddad A; Niazi T; Karasic T; Bilello M
Cancers (Basel); 2019 Nov; 11(11):. PubMed ID: 31683818
[TBL] [Abstract][Full Text] [Related]
14. A Parallel Convolutional Network Based on Spiking Neural Systems.
Zhou C; Ye L; Peng H; Liu Z; Wang J; RamÃrez-De-Arellano A
Int J Neural Syst; 2024 May; 34(5):2450022. PubMed ID: 38487872
[TBL] [Abstract][Full Text] [Related]
15. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images.
Mahmud T; Paul B; Fattah SA
Comput Biol Med; 2021 Jan; 128():104119. PubMed ID: 33254083
[TBL] [Abstract][Full Text] [Related]
18. Hi-
Showrav TT; Hasan MK
Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38593830
[No Abstract] [Full Text] [Related]
19. TA-Net: Topology-Aware Network for Gland Segmentation.
Wang H; Xian M; Vakanski A
IEEE Winter Conf Appl Comput Vis; 2022 Jan; 2022():3241-3249. PubMed ID: 35509894
[TBL] [Abstract][Full Text] [Related]
20. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]