Artificial Intelligence on Medical Data - Proceedings of International Symposium, ISCMM 2021 (Hardcover, 1st ed. 2023)


This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

R4,575

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles45750
Mobicred@R429pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days



Product Description

This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Lecture Notes in Computational Vision and Biomechanics, 37

Release date

July 2022

Availability

Expected to ship within 12 - 17 working days

First published

2023

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

484

Edition

1st ed. 2023

ISBN-13

978-981-19-0150-8

Barcode

9789811901508

Categories

LSN

981-19-0150-3



Trending On Loot