Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

侵略者

Eye-Guided Dual-Path Network for?Multi-organ Segmentation of?Abdomend. To address this issue, we propose a novel network for abdominal multi-organ segmentation, which incorporates radiologists’ gaze information to boost high-precision segmentation and weaken the demand for high-cost manual labels. Our network includes three special designs: 1) a dual-path encoder to

CLAMP

Scribble-Based 3D Multiple Abdominal Organ Segmentation via?Triple-Branch Multi-Dilated Network withes from different receptive fields that are complementary to each other to generate high-quality soft pseudo labels. For more stable unsupervised learning, we use voxel-wise uncertainty to rectify the soft pseudo labels and then supervise the outputs of each decoder. To further regularize the networ

Noisome

Geometry-Adaptive Network for?Robust Detection of?Placenta Accreta Spectrum DisordersThe GA-RF module aggregates the multi-scale RoI features based on the geometry distribution of proposals. Moreover, we develop a Lesion-aware Detection Head (LA-Head) to leverage high-quality predictions to iteratively refine inaccurate annotations with a novel multiple instance learning paradigm. E

和平主義

Mammo-Net: Integrating Gaze Supervision and?Interactive Information in?Multi-view Mammogram Classifidirectional fusion learning (BFL) to more effectively fuse multi-view information. Experimental results demonstrate that our proposed model significantly improves both mammogram classification performance and interpretability through incorporation of gaze data and cross-view interactive information.

Expressly

Blasphemy

保全

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for?Left Atrium Segmentae in the high-level feature space, the self-ensembling teacher model isolates clean and noisy labeled voxels by exploiting their relative feature distances to the class prototypes via multi-scale voting. Then, the student follows the teacher’s instruction for adaptive learning, wherein the clean vox

Blatant

jocular

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