000			03665nam a22003973i 4500
001			EBC6790370
003			MiAaPQ
005			20240122001459.0
006			m o d |
007			cr cnu||||||||
008			231124s2021 xx o ||||0 eng d
020			_a9789179290382 _q(electronic bk.)
035			_a(MiAaPQ)EBC6790370
035			_a(Au-PeEL)EBL6790370
035			_a(OCoLC)1283844869
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
100	1		_aCirillo, Marco Domenico.
245	1	2	_aA Path along Deep Learning for Medical Image Analysis : _bWith Focus on Burn Wounds and Brain Tumors.
250			_a1st ed.
264		1	_aLink�oping : _bLinkopings Universitet, _c2021.
264		4	_c{copy}2021.
300			_a1 online resource (101 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aLink�oping Studies in Science and Technology. Dissertations Series ; _vv.2175
505	0		_aIntro -- Abstract -- Acknowledgments -- Contents -- List of Figures -- Introduction -- Aim -- Delimitations -- Research questions -- Included papers -- Research ethics -- Outline -- Burn Wounds and Brain Tumors -- Burn wounds -- Pathophysiology -- Assessment methods -- Brain tumors -- Pathophysiology -- Assessment methods -- Reflections -- Image Features -- Type of features -- Color features -- Edge feature -- Texture features -- Mixed features -- Principal component analysis -- Independent component analysis -- Tensor decomposition -- Deep features -- Convolution -- Deep features -- Reflections -- Convolutional Neural Networks -- Deep learning basics -- Loss functions -- Forward and backward propagation -- Data pre-processing -- Weight initialization -- Normalization layers -- Activation functions -- Optimization -- Regularization -- Residual block -- Convolutional neural networks -- Convolutional layers -- CNNs for image classification -- CNNs for image segmentation -- CNNs for image generation -- Reflections -- Image Augmentation -- Image Augmentation Techniques -- Patch extraction -- Flipping -- Rotation -- Scaling -- Elastic grid-based deformation -- Brightness -- Reflections -- Generative Adversarial Networks -- Generator and discriminator -- GANs in medical imaging -- GAN losses -- Image-to-image GANs -- Pix2Pix -- Semantic image synthesis with spatially-adaptive normalization -- Reflections -- Papers, Discussions and Conclusions -- Paper I: Tensor decomposition for colour image segmentation of burn wounds -- Paper II: Time-independent prediction of burn depth using deep convolutional neural networks -- Paper III: Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images -- Paper IV: Vox2Vox: 3D-GAN for brain tumour segmentation.
505	8		_aPaper V: What is the best data augmentation for 3D brain tumor segmentation? -- Conclusions -- Bibliography -- Papers.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
655		4	_aElectronic books.
776	0	8	_iPrint version: _aCirillo, Marco Domenico _tA Path along Deep Learning for Medical Image Analysis _dLink�oping : Linkopings Universitet,c2021
797	2		_aProQuest (Firm)
830		0	_aLink�oping Studies in Science and Technology. Dissertations Series
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=6790370 _zClick to View
999			_c308654 _d308654