Applications of Artificial Intelligence in Medical Imaging: Artificial Intelligence Applications in Healthcare and Medicine
Editat de Abdulhamit Subasien Limba Engleză Paperback – 11 noi 2022
This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis.
- Discusses new deep learning algorithms for image analysis and how they are used for medical images
- Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system
- Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes
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Specificații
ISBN-13: 9780443184505
ISBN-10: 044318450X
Pagini: 380
Dimensiuni: 191 x 235 x 26 mm
Greutate: 0.65 kg
Editura: ELSEVIER SCIENCE
Seria Artificial Intelligence Applications in Healthcare and Medicine
ISBN-10: 044318450X
Pagini: 380
Dimensiuni: 191 x 235 x 26 mm
Greutate: 0.65 kg
Editura: ELSEVIER SCIENCE
Seria Artificial Intelligence Applications in Healthcare and Medicine
Public țintă
Researchers, professionals, academicians, and graduate students on medical informaticsResearchers, professionals, academicians, and graduate students on computer science
Cuprins
1. Introduction to artificial intelligence techniques for medical image analysis
ABDULHAMIT SUBASI
2. Lung cancer detection from histopathological lung tissue images using deep learning
AAYUSH RAJPUT AND ABDULHAMIT SUBASI
3. Magnetic resonance imagining-based automated brain tumor detection using deep learning techniques
ABHRANTA PANIGRAHI AND ABDULHAMIT SUBASI
4. Breast cancer detection from mammograms using artificial intelligence
ABDULHAMIT SUBASI, AAYUSH DINESH KANDPAL, KOLLA ANANT RAJ AND ULAS BAGCI
5. Breast tumor detection in ultrasound images using artificial intelligence
OMKAR MODI AND ABDULHAMIT SUBASI
6. Artificial intelligence-based skin cancer diagnosis
ABDULHAMIT SUBASI AND SAQIB AHMED QURESHI
7. Brain stroke detection from computed tomography images using deep learning algorithms
AYKUT DIKER, ABDULLAH ELEN AND ABDULHAMIT SUBASI
8. A deep learning approach for COVID-19 detection from computed tomography scans
ASHUTOSH VARSHNEY AND ABDULHAMIT SUBASI
9. Detection and classification of Diabetic Retinopathy Lesions using deep learning
SIDDHESH SHELKE AND ABDULHAMIT SUBASI
10. Automated detection of colon cancer using deep learning
AAYUSH RAJPUT AND ABDULHAMIT SUBASI
11. Brain hemorrhage detection using computed tomography images and deep learning
ABDULLAH ELEN, AYKUT DIKER AND ABDULHAMIT SUBASI
12. Artificial intelligence-based retinal disease classification using optical coherence tomography images
SOHAN PATNAIK AND ABDULHAMIT SUBASI
13. Diagnosis of breast cancer from histopathological images with deep learning architectures
EMRAH HANCER AND ABDULHAMIT SUBASI
14. Artificial intelligence based Alzheimer’s disease detection using deep feature extraction
MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI
ABDULHAMIT SUBASI
2. Lung cancer detection from histopathological lung tissue images using deep learning
AAYUSH RAJPUT AND ABDULHAMIT SUBASI
3. Magnetic resonance imagining-based automated brain tumor detection using deep learning techniques
ABHRANTA PANIGRAHI AND ABDULHAMIT SUBASI
4. Breast cancer detection from mammograms using artificial intelligence
ABDULHAMIT SUBASI, AAYUSH DINESH KANDPAL, KOLLA ANANT RAJ AND ULAS BAGCI
5. Breast tumor detection in ultrasound images using artificial intelligence
OMKAR MODI AND ABDULHAMIT SUBASI
6. Artificial intelligence-based skin cancer diagnosis
ABDULHAMIT SUBASI AND SAQIB AHMED QURESHI
7. Brain stroke detection from computed tomography images using deep learning algorithms
AYKUT DIKER, ABDULLAH ELEN AND ABDULHAMIT SUBASI
8. A deep learning approach for COVID-19 detection from computed tomography scans
ASHUTOSH VARSHNEY AND ABDULHAMIT SUBASI
9. Detection and classification of Diabetic Retinopathy Lesions using deep learning
SIDDHESH SHELKE AND ABDULHAMIT SUBASI
10. Automated detection of colon cancer using deep learning
AAYUSH RAJPUT AND ABDULHAMIT SUBASI
11. Brain hemorrhage detection using computed tomography images and deep learning
ABDULLAH ELEN, AYKUT DIKER AND ABDULHAMIT SUBASI
12. Artificial intelligence-based retinal disease classification using optical coherence tomography images
SOHAN PATNAIK AND ABDULHAMIT SUBASI
13. Diagnosis of breast cancer from histopathological images with deep learning architectures
EMRAH HANCER AND ABDULHAMIT SUBASI
14. Artificial intelligence based Alzheimer’s disease detection using deep feature extraction
MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI