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Full-Text Articles in Life Sciences
Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf
Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf
Mansoura Engineering Journal
It had been noticed that 3-phase and 4-phase computed tomography protocols with contrast serve as standard examinations for diagnosing liver tumors. Additionally, many patients require periodic follow-up, which entails significant radiation exposure for them. Advancements in image processing facilitate automated liver lesion segmentation. However, the challenge remains in classifying these small lesions by doctors, especially when the liver has different types of lesions with very little intensity difference. Therefore, deep learning can be utilized for the classification of liver lesions. The present work introduces a CNN-based module for the classification of liver lesions. The module consists of four stages: data …
Glaucoma Diagnosis Using Hybrid Neural Encoder Decoder Based Unet Hybrid Inception, Akanksha Bali, Vibhakar Mansotra
Glaucoma Diagnosis Using Hybrid Neural Encoder Decoder Based Unet Hybrid Inception, Akanksha Bali, Vibhakar Mansotra
Mansoura Engineering Journal
The anatomy of the retinal fundus picture, which includes the optic disc, affects how glaucoma characteristics are extracted. One of the main causes of blindness in the globe is glaucoma. Correct glaucoma screening in its early phases is difficult since the condition only becomes apparent when its symptoms are severe. If glaucoma is not treated, the optic nerve head (ONH) will be harmed, resulting in vision loss. Nevertheless, there are currently not enough eye experts accessible, and eye screening is personal, time-consuming and labor-intensive. Therefore, this is a real issue that can be addressed by automatically diagnosing glaucoma using deep …
Deep Learning-Based Technique For The Perception Of The Cervical Cancer, Aya Haraz, Hossam El-Din Moustafa, Abeer Twakol Khaleel, Ahmed H. Eltanboly
Deep Learning-Based Technique For The Perception Of The Cervical Cancer, Aya Haraz, Hossam El-Din Moustafa, Abeer Twakol Khaleel, Ahmed H. Eltanboly
Mansoura Engineering Journal
In third-world countries, cervical cancer is the most prevalent and leading cause of death. It is affected by a variety of factors, including smoking, poor nutritional status, immunological inadequacy, and prolonged use of contraception. The Pap smear test, which is intended to prevent cervical cancer, finds preneoplastic changes in cervical epithelial cells. This study framework classified cervical cancer cells from Pap smears into five specified cell types using machine learning-based classification algorithms. The SIPaKMeD database is used in this investigation. This public dataset, which was manually cropped from 966 cluster cell images taken from Pap smear slides, has 4045 isolated …