國立虎尾科技大學 |

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024) = medical imaging and computer-aided diagnosis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024)/ edited by Ruidan Su, Alejandro F. Frangi, Yudong Zhang.
Reminder of title:	medical imaging and computer-aided diagnosis /
remainder title:	MICAD 2024
other author:	Ruidan, Su.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvi, 592 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-981-96-3863-5
ISBN:	9789819638635

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024) = medical imaging and computer-aided diagnosis /
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024)medical imaging and computer-aided diagnosis /[electronic resource] :MICAD 2024edited by Ruidan Su, Alejandro F. Frangi, Yudong Zhang. - Singapore :Springer Nature Singapore :2025. - xvi, 592 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,13721876-1119 ;. - Lecture notes in electrical engineering ;v. 34 .

1 Oral Cancer Classification using a Hybrid Attention-aided Deep Learning Model -- 2 Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics -- 3 Improving Knee Osteoarthritis Detection through a Multitask Learning Method from 2D MRI Slices -- 4 Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study, etc.

This book aims to provide a collaborative platform for leading technology minds to exchange insights, foster interdisciplinary dialogue, and propel advancements in both medical imaging and computer-aided diagnosis. As technology evolves, a plethora of state-of-the-art human imaging devices have made remarkable strides in the medical field, transforming diagnostic and treatment standards. Concurrently, there is a growing emphasis on extracting and deciphering extensive information from medical images, spurring the demand for innovative solutions. The fusion of digital image processing and computer vision technologies has paved the way for computer-aided diagnosis (CAD), a pivotal player in disease analysis. This conference extends a warm invitation to researchers, scholars, engineers, scientists, industry leaders, and graduate students active in these fields. Through diverse participation formats, including compelling poster presentations and enlightening oral sessions, attendees will gain profound insights into the intricate interplay between these realms. This book showcases the latest technological breakthroughs, forging valuable connections and envisioning future applications.

ISBN: 9789819638635

Standard No.: 10.1007/978-981-96-3863-5doiSubjects--Topical Terms:

787070
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024) = medical imaging and computer-aided diagnosis /
LDR:02857nam a2200349 a 4500 001 1162183
003 DE-He213
005 20250408032025.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819638635 $q (electronic bk.)
020 $a 9789819638628 $q (paper)
024 7 $a 10.1007/978-981-96-3863-5 $2 doi
035 $a 978-981-96-3863-5
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UGC $2 bicssc
072 7 $a COM007000 $2 bisacsh
072 7 $a UGC $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b I61 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024) $h [electronic resource] : $b medical imaging and computer-aided diagnosis / $c edited by Ruidan Su, Alejandro F. Frangi, Yudong Zhang.
246 3 $a MICAD 2024
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xvi, 592 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v 1372
505 0 $a 1 Oral Cancer Classification using a Hybrid Attention-aided Deep Learning Model -- 2 Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics -- 3 Improving Knee Osteoarthritis Detection through a Multitask Learning Method from 2D MRI Slices -- 4 Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study, etc.
520 $a This book aims to provide a collaborative platform for leading technology minds to exchange insights, foster interdisciplinary dialogue, and propel advancements in both medical imaging and computer-aided diagnosis. As technology evolves, a plethora of state-of-the-art human imaging devices have made remarkable strides in the medical field, transforming diagnostic and treatment standards. Concurrently, there is a growing emphasis on extracting and deciphering extensive information from medical images, spurring the demand for innovative solutions. The fusion of digital image processing and computer vision technologies has paved the way for computer-aided diagnosis (CAD), a pivotal player in disease analysis. This conference extends a warm invitation to researchers, scholars, engineers, scientists, industry leaders, and graduate students active in these fields. Through diverse participation formats, including compelling poster presentations and enlightening oral sessions, attendees will gain profound insights into the intricate interplay between these realms. This book showcases the latest technological breakthroughs, forging valuable connections and envisioning future applications.
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 787070
650 0 $a Diagnosis $x Data processing $v Congresses. $3 1435816
650 1 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 669928
650 2 4 $a Image Processing. $3 669795
650 2 4 $a Medical and Health Technologies. $3 1387813
700 1 $a Ruidan, Su. $e editor. $3 1350776
700 1 $a Frangi, Alejandro F. $3 675061
700 1 $a Zhang, Yudong. $e editor. $1 https://orcid.org/0000-0002-4870-1493 $3 1351482
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v. 34 $3 773550
856 4 0 $u https://doi.org/10.1007/978-981-96-3863-5
950 $a Engineering (SpringerNature-11647)