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Retinopathy of Prematurity (ROP) is a potentially blinding eye disorder because of damage to the eye's retina which can affect babies born prematurely. Screening of ROP is essential for early detection and treatment. This is a laborious and…

Image and Video Processing · Electrical Eng. & Systems 2024-06-18 Sajid Rahim , Kourosh Sabri , Anna Ells , Alan Wassyng , Mark Lawford , Linyang Chu , Wenbo He

Glaucoma, a leading cause of irreversible blindness, necessitates early detection for accurate and timely intervention to prevent irreversible vision loss. In this study, we present a novel deep learning framework that leverages the…

Image and Video Processing · Electrical Eng. & Systems 2025-09-05 Mona Ashtari-Majlan , David Masip

With a mortality rate of 5.4 million lives worldwide every year and a healthcare cost of more than 16 billion dollars in the USA alone, sepsis is one of the leading causes of hospital mortality and an increasing concern in the ageing…

Machine Learning · Computer Science 2021-05-12 Margherita Rosnati , Vincent Fortuin

Glaucoma is a leading cause of irreversible vision impairment globally and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention which can prevent further visual field loss. To detect glaucoma,…

Glaucoma is a leading cause of irreversible blindness, but early detection can significantly improve treatment outcomes. Traditional diagnostic methods are often invasive and require specialized equipment. In this work, we present a deep…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Rishiraj Paul Chowdhury , Nirmit Shekar Karkera

Poultry farming is a vital component of the global food supply chain, yet it remains highly vulnerable to infectious diseases such as coccidiosis, salmonellosis, and Newcastle disease. This study proposes a lightweight machine…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 A. K. M. Shoriful Islam , Md. Rakib Hassan , Macbah Uddin , Md. Shahidur Rahman

Disease detection in sugarcane, particularly the identification of asymptomatic infectious diseases such as Ratoon Stunting Disease (RSD), is critical for effective crop management. This study employed various machine learning techniques to…

Machine Learning · Computer Science 2025-12-05 Ethan Kane Waters , Carla Chia-ming Chen , Mostafa Rahimi Azghadi

Accurate classification of laryngeal vascular as benign or malignant is crucial for early detection of laryngeal cancer. However, organizations with limited access to laryngeal vascular images face challenges due to the lack of large and…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Xinyi Fang , Xu Yang , Chak Fong Chong , Kei Long Wong , Yapeng Wang , Tiankui Zhang , Sio-Kei Im

Tuberculosis (TB) is one of the world's deadliest infectious diseases, and in South Africa, it contributes a significant burden to the country's health care system. This paper presents an experimental study on the development of a…

Computation and Language · Computer Science 2026-04-23 Thokozile Khosa , Olawande Daramola

Despite its high prevalence, anemia is often undetected due to the invasiveness and cost of screening and diagnostic tests. Though some non-invasive approaches have been developed, they are less accurate than invasive methods, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2020-06-03 Akinori Mitani , Yun Liu , Abigail Huang , Greg S. Corrado , Lily Peng , Dale R. Webster , Naama Hammel , Avinash V. Varadarajan

Coherent Raman scattering provides highly sensitive vibrational analysis through nonlinear light-matter interactions. However, its application to metal interfaces has remained challenging because the intrinsically large non-resonant…

The early detection of cancer is a challenging problem in medicine. The blood sera of cancer patients are enriched with heterogeneous secretory lipid bound extracellular vesicles (EVs), which present a complex repertoire of information and…

Other Quantitative Biology · Quantitative Biology 2022-02-15 Abicumaran Uthamacumaran , Samir Elouatik , Mohamed Abdouh , Michael Berteau-Rainville , Zu-hua Gao , Goffredo Arena

Ultrafast lasers have become one of the most powerful tools in coherent nonlinear optical spectroscopy. Short pulses enable direct observation of fast molecular dynamics, whereas broad spectral bandwidth offers ways of controlling nonlinear…

Chemical Physics · Physics 2015-05-13 X. G. Xu , S. O. Konorov , J. W. Hepburn , V. Milner

Glaucoma is a disease in which the optic nerve is chronically damaged by the elevation of the intra-ocular pressure, resulting in visual field defect. Therefore, it is important to monitor and treat suspected patients before they are…

Computer Vision and Pattern Recognition · Computer Science 2018-07-05 Tae Joon Jun , Dohyeun Kim , Hoang Minh Nguyen , Daeyoung Kim , Youngsub Eom

Pancreatic cancer (PC) is the fourth leading cause of cancer death in the United States due to its five-year survival rate of 10%. Late diagnosis, affiliated with the asymptomatic nature in early stages and the location of the cancer with…

Quantitative Methods · Quantitative Biology 2020-12-15 Siya Goel , Clark Gedney , Jean Honorio

Breast cancer is the leading cause of mortality among women. Inspection of breasts by palpation is the key to early detection. We aim to create a wearable tactile glove that could localize the lump in breasts using deep learning (DL). In…

Glaucoma is a chronic eye disease characterized by optic neuropathy, leading to irreversible vision loss. It progresses gradually, often remaining undiagnosed until advanced stages. Early detection is crucial to monitor atrophy and develop…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Sayan Mandal

Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown…

Computer Vision and Pattern Recognition · Computer Science 2015-01-07 Omar Abuzaghleh , Miad Faezipour , Buket D. Barkana

In this paper, we propose an approach to support the diagnosis of urinary tract diseases, with a focus on bladder cancer, using SHAP (SHapley Additive exPlanations)-based feature selection to enhance the transparency and effectiveness of…

Machine Learning · Computer Science 2025-10-24 Filipe Ferreira de Oliveira , Matheus Becali Rocha , Renato A. Krohling

Stereotactic body radiation therapy (SBRT) and hypofractionation using pencil-beam scanning (PBS) proton therapy (PBSPT) is an attractive option for thoracic malignancies. Combining the advantages of target coverage conformity and critical…