| 000 | 01203nam a22002897a 4500 | ||
|---|---|---|---|
| 005 | 20251023142717.0 | ||
| 008 | 251023b |||||||| |||| 00| 0 eng d | ||
| 020 | _a978-0-323-85124-4 | ||
| 040 | _cSYAMALA BOOK LINKS | ||
| 082 |
_2SECOND _a616.075 ZHO |
||
| 100 | _aZHOU KEVIN S | ||
| 245 | _aDEEP LEARNING FOR MEDICAL IMAGE ANALYSIS | ||
| 250 | _aSECOND EDITION | ||
| 260 |
_aCAMBRIDGE _bELSEVIER INC _bACADEMIC PRESS _c2024 |
||
| 300 |
_aXXIII 518P _c18X15X2 C.M |
||
| 365 |
_b9950 _c₹ |
||
| 500 | _aMEDICAL IMAGE ANALYSIS | ||
| 520 | _aThis book serves as both a textbook and reference for researchers, medical imaging specialists, and AI engineers. It systematically presents how deep learning methods, particularly convolutional neural networks (CNNs), autoencoders, recurrent networks, and generative adversarial networks (GANs), have transformed medical image analysis tasks such as detection, segmentation, classification, and diagnosis. | ||
| 522 | _aCOMPUTER SCIENCE | ||
| 650 | _aMACHINE LEARNING | ||
| 651 | _aCOMPUTER SCIENCE | ||
| 658 | _cR-23 | ||
| 700 | _aHAYIT GREENSPAN | ||
| 700 | _aDINGGANG SHEN | ||
| 760 | _bSECOND EDITION | ||
| 942 |
_2ddc _cREF _e3rd Edition _n0 |
||
| 999 |
_c18402 _d18402 |
||