"Version: 202201"--Title page verso.Includes bibliographical references.1. Lung cancer classification using wavelet recurrent neural network / Devi Nurtiyasari, Dedi Rosadi and Abdurakhman -- 2. Diagnosis of diffusion-weighted magnetic resonance imaging (DWI) for lung cancer / Katsuo Usuda and Hidetaka Uramoto -- 3. Computer assisted detection of low/high grade nodule from lung CT scan slices u…
"Version: 20221001"--Title page verso.Includes bibliographical references.1. American Joint Committee on Cancer staging of lung and renal cancers using a recurrent deep neural network model / Dipanjan Moitra -- 2. Neural-ensemble-based detection : a modern way to diagnose lung cancer / Sharayu Govardhane, Sahil Gandhi and Pravin Shende -- 3. Computed tomography and magnetic resonance imaging ma…
"Version: 20221001"--Title page verso.Includes bibliographical references.1. Development of artificial neural networks for breast histopathological image analysis / Chen Li, Yuchao Zheng, Haiqing Zhang, Xiaomin Zhou, Yin Dai and Xiaoyan Li -- 2. Machine learning in bladder cancer diagnosis / Elliot S. Kim, Valentina L. Kouznetsova and Igor F. Tsigelny -- 3. Deep learning in photoacoustic breast…
"Version: 20221001"--Title page verso.Includes bibliographical references.1. Artificial intelligence in prostate cancer treatment with image-guided radiation therapy / Yading Yuan, Ren-Dih Sheu, Tzu-Chi Tseng, James Tam, Yeh-Chi Lo and Richard Stock -- 2. Artificial-intelligence-based diagnosis of brain tumor diseases / Samir Kumar Bandyopadhyay, Vishal Goyal and Shawni Dutta -- 3. Multisite br…
"Version: 20220401"--Title page verso.Includes bibliographical references.1. Applying deep learning and emerging technologies in combating COVID-19 / Adedoyin A. Hussain and Barakat A. Dawood -- 2. Detecting COVID-19 in chest radiographs using machine learning and convolutional neural networks / Andrew C. Li, David T. Lee, Kristoff K. Misquitta, Kaiji Uno and Sasha Wald -- 3. Inf-Net : an autom…
"Version: 20191001"--Title page verso.Includes bibliographical references.1. Magnetic resonance imaging -- 1.1. Introduction -- 1.2. Magnetic resonance imaging2. Computed tomography principles -- 2.1. Basic physics of x-rays -- 2.2. Introduction to CT -- 2.3. CT scanner components -- 2.4. Image acquisition -- 2.5. Image elaboration -- 2.6. CT generations -- 2.7. Spiral volume scanning and multi…
"Version: 20191101"--Title page verso.Includes bibliographical references.1. Exoskeleton-assisted rehabilitation training improves cognitive and motor functions in multiple sclerosis patients -- 1.1. Introduction -- 1.2. Methods -- 1.3. Results -- 1.4. Discussion2. The early stages of multiple sclerosis : new targets for the development of combinational drug therapies -- 2.1. Introduction -- 2.…
"Version: 20191101"--Title page verso.Includes bibliographical references.1. Machine learning applications to recognize autism and Alzheimer's disease -- 1.1. Introduction -- 1.2. Brain disorders -- 1.3. Deep learning -- 1.4. Conclusion2. Neuropathology and neuroimaging of Alzheimer's disease -- 2.1. Alzheimer's disease : history, concept, clinical picture, and neurobiology -- 2.2. Biomarkers -…
"Version: 20201201"--Title page verso.Includes bibliographical references.1. Diagnostic models for attention-deficit hyperactivity disorder based on neuroimaging methods / Xunheng Wang and Lihua Li -- 2. Application of machine learning algorithms to diagnosis attention deficit hyperactivity disorder / Saedeh Tahery and Saeed Farzi -- 3. Classification of attention deficit hyperactivity disorder…
"Version: 20190801"--Title page verso.Includes bibliographical references.section I. Vascular and intravascular clinical analysis. 1. OCT in the evaluation of late stent pathology : restenosis, neoatherosclerosis and late malapposition -- 1.1. Stent evolution and late stent pathology -- 1.2. OCT characterization of late stent pathology -- 1.3. OCT evaluation of bioresorbable vascular scaffolds …