MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04856namaa22004331i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-GICUC |
| 005 - أخر تعامل مع التسجيلة |
|---|
| control field |
20260315133647.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260315s2025 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloguing agency |
EG-GICUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GICUC |
| Modifying agency |
EG-GICUC |
| Description conventions |
rda |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| Language code of summary or abstract |
eng |
| -- |
ara |
| 049 ## - Acquisition Source |
|---|
| Acquisition Source |
Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
610.28 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
|---|
| Classification number |
610.28 |
| Edition number |
21 |
| 097 ## - Degree |
|---|
| Degree |
Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| Local Call Number |
Cai01.13.03.Ph.D.2025.Sh.I |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Authority record control number or standard number |
Shereen Ekhlas Mohammed Ibrahim Morsy, |
| Preparation |
preparation. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Intelligent diagnostic system for ultrasound images / |
| Statement of responsibility, etc. |
by Shereen Ekhlas Mohammed Ibrahim Morsy ; Supervisors Prof. Dr. Abou Bakr Mohammed Abd Al-Fatah Youssef, Prof. Dr. Ahmed Mohammed Ragab El-Bialy. |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
نظام تشخيص ذكي لصور الموجات فوق الصوتية |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
86 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
CD. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rda content |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
Unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Ph.D)-Cairo University, 2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Bibliography: pages 76-86. |
| 520 #3 - SUMMARY, ETC. |
|---|
| Summary, etc. |
Ultrasound imaging is a non-invasive tool for diagnosing breast and lung diseases but is limited by operator dependency. AI-driven computer-aided diagnosis (CAD) systems enhance accuracy and efficiency by automating feature extraction. This thesis explores AI-based breast and lung ultrasound analysis using machine learning (ML), deep learning (DL), and transfer learning.<br/>For breast ultrasound, three CAD approaches were evaluated. The ML-based system used SVM, KNN, and Decision Trees, with SVM achieving 89.6% accuracy. The DL-based system, employing CNNs and deep features, achieved 95.1% accuracy. Transfer learning integrated ResUNet for segmentation and EfficientNetB7 for classification, reaching 88% accuracy.<br/>For lung ultrasound, CNN and EfficientNetB3 outperformed other models, exceeding 90% accuracy. These findings demonstrate the utility of AI as a supportive tool in the diagnostic process, though challenges like dataset limitations and model generalizability remain. Future research will refine architectures, integrate multimodal imaging, and enhance clinical validation. |
| 520 #3 - SUMMARY, ETC. |
|---|
| Summary, etc. |
تصوير الموجات فوق الصوتية هو أداة غير جراحية لتشخيص أمراض الثدي والرئة ولكنه محدود بالاعتماد على المستخدم. تعزز أنظمة التشخيص بمساعدة الكمبيوتر المدفوعة بالذكاء الاصطناعي (CAD) الدقة والكفاءة من خلال أتمتة استخراج المزايا. تستكشف هذه الأطروحة تحليل الموجات فوق الصوتية للثدي والرئة المعتمد على الذكاء الاصطناعي باستخدام التعلم الآلي (ML)، والتعلم العميق (DL)، والتعلم بالنقل. بالنسبة لفحص الثدي بالموجات فوق الصوتية، تم تقييم ثلاث طرق مبنية على الذكاء الاصطناعي. استخدم النظام القائم على التعلم الآلي SVM وKNN وأشجار القرار، حيث حقق SVM دقة بنسبة 89.6%. حقق النظام القائم على التعلم العميق، الذي يستخدم الشبكات العصبية التلافيفية والميزات العميقة، دقة بنسبة 95.1%. تم دمج التعلم بالنقل مع ResUNet للتجزئة وEfficientNetB7 للتصنيف، مما حقق دقة بنسبة 88%. بالنسبة للأشعة فوق الصوتية للرئة، تفوقتCNN وEfficientNetB3 على النماذج الأخرى، متجاوزةً دقة 90%. تؤكد النتائج على إمكانيات الذكاء الاصطناعي في تحسين التشخيصات، على الرغم من وجود تحديات مثل قيود مجموعة البيانات وقابلية تعميم النموذج. ستقوم الأبحاث المستقبلية بتحسين الهياكل، ودمج التصوير متعدد. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Issues CD |
Issues also as CD. |
| 546 ## - LANGUAGE NOTE |
|---|
| Text Language |
Text in English and abstract in Arabic & English. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Biomedical Engineering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
الهندسة الحيوية |
| 653 #1 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Ultrasound images |
| -- |
Breast Cancer |
| -- |
Lung Ultrasound |
| -- |
Artificial Intelligence |
| -- |
Deep learning |
| -- |
موجات صوتية |
| -- |
سرطان الثدى |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Abou Bakr Mohammed Abd Al-Fatah Youssef |
| Relator term |
thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ahmed Mohammed Ragab El-Bialy |
| Relator term |
thesis advisor. |
| 900 ## - Thesis Information |
|---|
| Grant date |
01-01-2025 |
| Supervisory body |
Abou Bakr Mohammed Abd Al-Fatah Youssef |
| -- |
Ahmed Mohammed Ragab El-Bialy |
| Discussion body |
Ahmed Hisham Bahy Aldin Kandil |
| -- |
Nancy Mustafa Ahmed Salem |
| Universities |
Cairo University |
| Faculties |
Faculty of Engineering |
| Department |
Department of Biomedical Engineering and Systems |
| 905 ## - Cataloger and Reviser Names |
|---|
| Cataloger Name |
Shimaa |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
| Edition |
21 |
| Suppress in OPAC |
No |