Titlebook: Cancer Prevention Through Early Detection; First International Sharib Ali,Fons van der Sommen,Iris Kolenbrander Conference proceedings 202

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Robert Gordon,Marizanne Grundlingho be performed virtually for individual patients, based on their anatomy and lesions derived from MR images. A patient-specific policy can thus be optimised, before each biopsy procedure, by rewarding positive sampling in the MDP environment. Experiment results from fifty four prostate cancer patien

cuticle

3D-Morphomics, Morphological Features on?CT Scans for?Lung Nodule Malignancy Diagnosis Three other sets of classical features are trained and tested, (1) clinical relevant features gives an AUC of 0.58, (2) 111 radiomics gives an AUC of 0.976, (3) radiologist ground truth (GT) containing the nodule size, attenuation and spiculation qualitative annotations gives an AUC of 0.979. We al

motor-unit

Self-supervised Approach for?a?Fully Assistive Esophageal Surveillance: Quality, Anatomy and?Neoplask of solving a jigsaw puzzle. Here, the idea is to enable network to distinctly learn inconspicuous features that are characteristics of neoplasia and other classes. In order to enable an optimal decision boundary we propose to incorporated angular margin in our fine-tuning process. Our proposed fra

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Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset IM gastric glands. To evaluate the efficiency of the proposed methodology we created the IMGL dataset consisting of 1000 gland images, including both intestinal metaplasia and normal cases received from 20 Whole Slide Images (WSI). The results showed that the proposed approach achieves an F1 score

Alopecia-Areata

Parallel Classification of?Cells in?Thinprep Cytology Test Image for?Cervical Cancer Screeningalso align the EN-HN and HN-P decision planes in parallel in the latent feature space where all input patches are encoded. The dual planes perform parallel classification then, following a well-planned curriculum learning scheme. Our results show that the proposed method can greatly enhance the perf

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Arthropathy

A CAD System for?Real-Time Characterization of?Neoplasia in?Barrett’s Esophagus NBI Videos the post-hoc methods on average by . and . for accuracy and specificity, respectively. The obtained results show promising methods towards real-time endoscopic video analysis and identifies steps for further development.

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Active Data Enrichment by?Learning What to?Annotate in?Digital Pathologyse and compare approaches aimed to balance the dataset and mitigate the biases in learning by automatically prioritising regions with clinical patterns underrepresented in the dataset. Our study demonstrates the opportunities active data enrichment can provide and results in a new lung-cancer datase