國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Deep learning in medical image analy...

Fujita, Hiroshi.

Deep learning in medical image analysischallenges and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning in medical image analysisedited by Gobert Lee, Hiroshi Fujita.
其他題名:	challenges and applications /
其他作者:	Lee, Gobert.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	viii, 181 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-3-030-33128-3
ISBN:	9783030331283$q(electronic bk.)

Deep learning in medical image analysischallenges and applications /
Deep learning in medical image analysischallenges and applications /[electronic resource] :edited by Gobert Lee, Hiroshi Fujita. - Cham :Springer International Publishing :2020. - viii, 181 p. :ill., digital ;24 cm. - Advances in experimental medicine and biology,v.12130065-2598 ;. - Advances in experimental medicine and biology ;946..

Deep Learning in Medical Image Analysis -- Medical Image Synthesis via Deep Learning -- Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation -- Deep Learning Computer Aided Diagnosis for Breast Lesion in Digital Mammogram -- Decision support system for lung cancer using PET/CT and microscopic images -- Lesion Image Synthesis using DCGANs for Metastatic Liver Cancer Detection -- Retinopathy analysis based on deep convolution neural network -- Diagnosis of Glaucoma on retinal fundus images using deep learning: detection of nerve fiber layer defect and optic disc analysis -- Automatic segmentation of multiple organs on 3D CT images by using deep learning approaches -- Techniques and Applications in Skin OCT Analysis -- Deep Learning Technique for Musculoskeletal Analysis -- Index.

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

ISBN: 9783030331283$q(electronic bk.)

Standard No.: 10.1007/978-3-030-33128-3doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / D447 2020

Dewey Class. No.: 616.0754

Deep learning in medical image analysischallenges and applications /
LDR:02955nmm a2200349 a 4500 001 574628
003 DE-He213
005 20200707152831.0
006 m d
007 cr nn 008maaau
008 201016s2020 sz s 0 eng d
020 $a 9783030331283$q(electronic bk.)
020 $a 9783030331276$q(paper)
020 $z 9783030331306
024 7 $a 10.1007/978-3-030-33128-3 $2 doi
035 $a 978-3-030-33128-3
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b D447 2020
072 7 $a MQW $2 bicssc
072 7 $a MED003040 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 616.0754 $2 23
090 $a R859.7.A78 $b D311 2020
245 0 0 $a Deep learning in medical image analysis $h [electronic resource] : $b challenges and applications / $c edited by Gobert Lee, Hiroshi Fujita.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a viii, 181 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in experimental medicine and biology, $x 0065-2598 ; $v v.1213
505 0 $a Deep Learning in Medical Image Analysis -- Medical Image Synthesis via Deep Learning -- Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation -- Deep Learning Computer Aided Diagnosis for Breast Lesion in Digital Mammogram -- Decision support system for lung cancer using PET/CT and microscopic images -- Lesion Image Synthesis using DCGANs for Metastatic Liver Cancer Detection -- Retinopathy analysis based on deep convolution neural network -- Diagnosis of Glaucoma on retinal fundus images using deep learning: detection of nerve fiber layer defect and optic disc analysis -- Automatic segmentation of multiple organs on 3D CT images by using deep learning approaches -- Techniques and Applications in Skin OCT Analysis -- Deep Learning Technique for Musculoskeletal Analysis -- Index.
520 $a This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Diagnostic imaging. $3 214977
650 0 $a Image analysis. $3 190419
650 1 4 $a Biomedical Engineering/Biotechnology. $3 730838
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Imaging / Radiology. $3 274007
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
700 1 $a Lee, Gobert. $3 862358
700 1 $a Fujita, Hiroshi. $3 682943
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in experimental medicine and biology ; $v 946. $3 557559
856 4 0 $u https://doi.org/10.1007/978-3-030-33128-3
950 $a Biomedical and Life Sciences (Springer-11642)