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Data engineering in medical imaging ...

DEMI (Workshop) (2023 :)

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Data engineering in medical imaging = first MICCAI Workshop, DEMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data engineering in medical imaging/ edited by Binod Bhattarai ... [et al.].
其他題名:	first MICCAI Workshop, DEMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
其他題名:	DEMI 2023
其他作者:	Bhattarai, Binod.
團體作者:	DEMI (Workshop)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	x, 123 p. :ill. (some col.), digital ;24 cm.
內容註:	Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels -- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis -- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation -- Pre-training with simulated ultrasound images for breast mass segmentation and classification -- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications -- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video -- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance -- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining -- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions -- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy -- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.
Contained By:	Springer Nature eBook
標題:	Diagnostic imaging - Congresses. - Data processing -
電子資源:	https://doi.org/10.1007/978-3-031-44992-5
ISBN:	9783031449925

Data engineering in medical imaging = first MICCAI Workshop, DEMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
Data engineering in medical imagingfirst MICCAI Workshop, DEMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /[electronic resource] :DEMI 2023edited by Binod Bhattarai ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 123 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,143140302-9743 ;. - Lecture notes in computer science ;14314..

Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels -- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis -- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation -- Pre-training with simulated ultrasound images for breast mass segmentation and classification -- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications -- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video -- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance -- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining -- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions -- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy -- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.

Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023. The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper) All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.

ISBN: 9783031449925

Standard No.: 10.1007/978-3-031-44992-5doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53 / D38 2023

Dewey Class. No.: 616.0754

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