130 related articles for article (PubMed ID: 37788198)
81. BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior.
Ou Y; Huang SX; Wong KK; Cummock J; Volpi J; Wang JZ; Wong STC
Comput Med Imaging Graph; 2023 Jul; 107():102236. PubMed ID: 37146318
[TBL] [Abstract][Full Text] [Related]
82. Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study.
Yu M; Han M; Li X; Wei X; Jiang H; Chen H; Yu R
Comput Biol Med; 2022 May; 144():105347. PubMed ID: 35276549
[TBL] [Abstract][Full Text] [Related]
83. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
84. Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation.
He X; Fang L; Tan M; Chen X
IEEE Trans Image Process; 2022; 31():1870-1881. PubMed ID: 35139015
[TBL] [Abstract][Full Text] [Related]
85. RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation.
Zhou L; Yu L; Wang L
IEEE Trans Med Imaging; 2024 Jan; 43(1):149-161. PubMed ID: 37436855
[TBL] [Abstract][Full Text] [Related]
86. Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM.
Li Y; Wang L; Huang X; Wang Y; Dong L; Ge R; Zhou H; Ye J; Zhang Q
IEEE J Biomed Health Inform; 2024 Jan; 28(1):66-77. PubMed ID: 37368799
[TBL] [Abstract][Full Text] [Related]
87. High-Resolution Swin Transformer for Automatic Medical Image Segmentation.
Wei C; Ren S; Guo K; Hu H; Liang J
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050479
[TBL] [Abstract][Full Text] [Related]
88. Group-Wise Learning for Weakly Supervised Semantic Segmentation.
Zhou T; Li L; Li X; Feng CM; Li J; Shao L
IEEE Trans Image Process; 2022; 31():799-811. PubMed ID: 34910633
[TBL] [Abstract][Full Text] [Related]
89. Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.
Saleh FS; Aliakbarian MS; Salzmann M; Petersson L; Alvarez JM; Gould S
IEEE Trans Pattern Anal Mach Intell; 2018 Jun; 40(6):1382-1396. PubMed ID: 28613162
[TBL] [Abstract][Full Text] [Related]
90. A level set method based on domain transformation and bias correction for MRI brain tumor segmentation.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
J Neurosci Methods; 2021 Mar; 352():109091. PubMed ID: 33515604
[TBL] [Abstract][Full Text] [Related]
91. Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
Gao Z; Jia C; Li Y; Zhang X; Hong B; Wu J; Gong T; Wang C; Meng D; Zheng Y; Li C
IEEE Trans Med Imaging; 2022 Dec; 41(12):3611-3623. PubMed ID: 35839184
[TBL] [Abstract][Full Text] [Related]
92. Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation.
Ma S; Tang J; Guo F
Front Oncol; 2021; 11():704850. PubMed ID: 34604039
[TBL] [Abstract][Full Text] [Related]
93. RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.
Chen G; Li Q; Shi F; Rekik I; Pan Z
Neuroimage; 2020 May; 211():116620. PubMed ID: 32057997
[TBL] [Abstract][Full Text] [Related]
94. Category guided attention network for brain tumor segmentation in MRI.
Li J; Yu H; Chen C; Ding M; Zha S
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354136
[No Abstract] [Full Text] [Related]
95. A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis.
Zhou Z; Wang M; Zhao R; Shao Y; Xing L; Qiu Q; Yin Y
J Transl Med; 2023 Nov; 21(1):788. PubMed ID: 37936137
[TBL] [Abstract][Full Text] [Related]
96. Pact-Net: Parallel CNNs and Transformers for medical image segmentation.
Chen W; Zhang R; Zhang Y; Bao F; Lv H; Li L; Zhang C
Comput Methods Programs Biomed; 2023 Dec; 242():107782. PubMed ID: 37690317
[TBL] [Abstract][Full Text] [Related]
97. Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Ashtari P; Sima DM; De Lathauwer L; Sappey-Marinier D; Maes F; Van Huffel S
Med Image Anal; 2023 Feb; 84():102706. PubMed ID: 36516557
[TBL] [Abstract][Full Text] [Related]
98. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry.
Liang Y; Yin Z; Liu H; Zeng H; Wang J; Liu J; Che N
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):785-795. PubMed ID: 34951851
[TBL] [Abstract][Full Text] [Related]
99. Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks.
Lu Q; Li Y; Ye C
Med Image Anal; 2021 Aug; 72():102094. PubMed ID: 34004493
[TBL] [Abstract][Full Text] [Related]
100. Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.
Zhang Y; Jiao R; Liao Q; Li D; Zhang J
Artif Intell Med; 2023 Apr; 138():102476. PubMed ID: 36990583
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]