Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; 24th International C Marleen de Bruijne,Philippe C. Cattin,Caroli

決定性

BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifyinar zone (FAZ) across retinal layers. Clinical researches suggest that the morphology and contour irregularity of FAZ are important biomarkers of various ocular pathologies. Therefore, precise segmentation of FAZ has great clinical interest. Also, there is no existing research reporting that FAZ feat

珊瑚

分開如此和諧

CESS

FEIGN

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmning based methods have been developed for this task and yield remarkable performance. However, due to large spatial gap and potential mismatch between the B-scans of OCT data, all of them are based on 2D segmentation of individual B-scans, which may loss the continuity information across the B-scan

可憎

trigger

pester

Prototypical Models for Classifying High-Risk Atypical Breast Lesionss. We reframe the computational diagnosis of atypical breast lesions as a problem of prototype recognition on the basis that pathologists mentally relate current histological patterns to previously encountered patterns during their routine diagnostic work. In an unsupervised manner, we investigate t

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從屬

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasmsd topic in computational pathology. This study, to the best of our knowledge, is among the first to hybridize local and global graph methods to profile orchestration and interaction of cellular components. To address the challenge in hematolymphoid cancers, where the cell classes in TME may be uncle