000 | 03896cam a2200565Ki 4500 | ||
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001 | 9781003241409 | ||
003 | FlBoTFG | ||
005 | 20240213122827.0 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 220302s2022 xx o 000 0 eng d | ||
040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
||
020 |
_a9781003241409 _q(electronic bk.) |
||
020 |
_a1003241409 _q(electronic bk.) |
||
020 |
_a9781000570342 _q(electronic bk. : EPUB) |
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020 |
_a1000570347 _q(electronic bk. : EPUB) |
||
020 | _z9781032148472 | ||
020 |
_a9781000570304 _q(electronic bk. : PDF) |
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020 |
_a1000570304 _q(electronic bk. : PDF) |
||
020 | _z9781032148465 | ||
024 | 7 |
_a10.1201/9781003241409 _2doi |
|
035 | _a(OCoLC)1301430929 | ||
035 | _a(OCoLC-P)1301430929 | ||
050 | 4 | _a4R859.7.A78 | |
072 | 7 |
_aBUS _x070080 _2bisacsh |
|
072 | 7 |
_aCOM _x037000 _2bisacsh |
|
072 | 7 |
_aMED _x002000 _2bisacsh |
|
072 | 7 |
_aUYQ _2bicssc |
|
082 | 0 | 4 |
_a610.285 _223/eng/20220110 |
245 | 0 | 0 |
_aArtificial intelligence applications for health care / _cedited by Mitul Kumar Ahirwal, Narendra D. Londhe, Anil Kumar. |
250 | _aFirst edition. | ||
264 | 1 |
_a[Place of publication not identified] : _bCRC Press, _c2022. |
|
300 | _a1 online resource (xx, 312 pages). | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
505 | 0 | _a1. A Survey of Machine Learning in Healthcare. 2. A Review on Biomedical Signals with Fundamentals of Digital Signal Processing. 3. Images in Radiology : Concepts of Image Acquisition and the Nature of Images. 4. Fundamentals of Artificial Intelligence and Computational Intelligence Techniques with their Applications in Healthcare Systems. 5.Machine Learning Approach with Data Normalization Technique for Early Stage Detection of Hypothyroidism. 6. GPU-based Medical Image Segmentation: Brain MRI Analysis Using 3D Slicer. 7. Preliminary Study of Retinal Lesions Classification on Retinal Fundus Images for The Diagnosis of Retinal Diseases. 8. Automatic Screening of COVID-19 based on CT Scan Images through Extreme Gradient Boosting. 9. Investigations on Convolutional Neural Network in Classification of the Chest X-Ray Images for COVID-19 and Pneumonia. 10. Improving the Detection of Abdominal and Mediastinal Lymph Nodes in CT Images Using Attention U-Net Based Deep Learning Model. 11. Swarm Optimized Hybrid Layer Decomposition and Reconstruction Model for Multi-Modal Neurological Image Fusion. 12. Hybrid Seeker Optimization Algorithm-Based Accurate Image Clustering for Automatic Psoriasis Lesion Detection. 13. A COVID-19 Tracker for Medical Front-Liners. 14. Implementation of One Dimensional Convolutional Neural Network for ECG Classification on Python. 15. Pneumonia Detectionfrom X-ray Images by Two Dimensional Convolutional Neural Network on Python Platform. | |
520 |
_a"This book takes an interdisciplinary approach covering health care, cognitive computing, and artificial intelligence. Data sets related to biomedical signals and images are explored, analysed, and processed including applications of computational intelligence techniques in medial datasets"-- _cProvided by publisher. |
||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 7 |
_aBUSINESS & ECONOMICS / Industries / Service Industries _2bisacsh |
|
650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh |
|
650 | 7 |
_aMEDICAL / Administration _2bisacsh |
|
650 | 0 |
_aArtificial intelligence _xMedical applications. |
|
650 | 0 | _aMedical informatics. | |
700 | 1 |
_aAhirwal, Mitul Kumar, _eeditor. |
|
700 | 1 |
_aLondhe, Narendra D., _eeditor. |
|
700 | 1 |
_aKumar, Anil, _d1980- _eeditor. |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003241409 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c5127 _d5127 |