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Uterine Cervical Cancer is one of the most common forms of cancer in women worldwide. Most cases of cervical cancer can be prevented through screening programs aimed at detecting precancerous lesions. During Digital Colposcopy, colposcopic…

Computer Vision and Pattern Recognition · Computer Science 2016-11-15 Abhishek Das , Avijit Kar , Debasis Bhattacharyya

Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Cobb angle is a widely used scoliosis quantification method…

Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals. However, the quality of reports generated by current automated approaches…

The most common reason for spinal surgery in elderly patients is lumbar spinal stenosis(LSS). For LSS, treatment decisions based on clinical and radiological information as well as personal experience of the surgeon shows large variance.…

Finding small lesions is very challenging due to lack of noticeable features, severe class imbalance, as well as the size itself. One approach to improve small lesion segmentation is to reduce the region of interest and inspect it at a…

Image and Video Processing · Electrical Eng. & Systems 2022-08-01 Seung Yeon Shin , Thomas C. Shen , Stephen A. Wank , Ronald M. Summers

Automatic CT segmentation of proximal femur is crucial for the diagnosis and risk stratification of orthopedic diseases; however, current methods for the femur CT segmentation mainly rely on manual interactive segmentation, which is…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Yu Deng , Ling Wang , Chen Zhao , Shaojie Tang , Xiaoguang Cheng , Hong-Wen Deng , Weihua Zhou

Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radiographs of hands and feet. This is a tedious task which requires trained experts whose subjective assessment leads to low inter-rater agreement. An…

Computer Vision and Pattern Recognition · Computer Science 2022-05-31 Neelambuj Chaturvedi

Over 150,000 new people in the United States are diagnosed with colorectal cancer each year. Nearly a third die from it (American Cancer Society). The only approved noninvasive diagnosis tools currently involve fecal blood count tests…

Machine Learning · Statistics 2017-08-16 Anirudh Kamath , Aditya Singh , Raj Ramnani , Ayush Vyas , Jay Shenoy

Analysis of microscopy images is one important tool in many fields of biomedical research, as it allows the quantification of a multitude of parameters at the cellular level. However, manual counting of these images is both tiring and…

Computer Vision and Pattern Recognition · Computer Science 2013-11-13 P. A Nogueira

Abnormal gait, its associated falls and complications have high patient morbidity, mortality. Computer vision detects, predicts patient gait abnormalities, assesses fall risk and serves as clinical decision support tool for physicians. This…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Jasmin Hundall , Benson A. Babu

Accurate and rapid detection of gait phases is of utmost importance in achieving optimal performance of powered lower-limb prostheses and exoskeletons. With the increasing versatility and complexity of these robotic systems, there is a…

Robotics · Computer Science 2023-10-17 Barath Kumar JK , Aswadh Khumar G S

The optimal treatment strategy of newly diagnosed glioma is strongly influenced by tumour malignancy. Manual non-invasive grading based on MRI is not always accurate and biopsies to verify diagnosis negatively impact overall survival. In…

Image and Video Processing · Electrical Eng. & Systems 2019-08-08 Milan Decuyper , Roel Van Holen

Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segmentation are either hand-crafted or semi-automatic and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Pengbo Liu , Hu Han , Yuanqi Du , Heqin Zhu , Yinhao Li , Feng Gu , Honghu Xiao , Jun Li , Chunpeng Zhao , Li Xiao , Xinbao Wu , S. Kevin Zhou

Accurate segmentation for medical images is important for clinical diagnosis. Existing automatic segmentation methods are mainly based on fully supervised learning and have an extremely high demand for precise annotations, which are very…

Computer Vision and Pattern Recognition · Computer Science 2021-06-10 Yuanpeng Liu , Qinglei Hui , Zhiyi Peng , Shaolin Gong , Dexing Kong

Alignment of the bones in standing position provides useful information in surgical planning. In total hip arthroplasty (THA), pelvic sagittal inclination (PSI) angle in the standing position is an important factor in planning of cup…

Image and Video Processing · Electrical Eng. & Systems 2019-11-06 Ata Jodeiri , Yoshito Otake , Reza A. Zoroofi , Yuta Hiasa , Masaki Takao , Keisuke Uemura , Nobuhiko Sugano , Yoshinobu Sato

MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in spine deformity assessment is largely limited by the lack of automated, high-resolution 3D bony reconstruction, which continues to rely on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Nathasha Naranpanawa , Maree T. Izatt , Robert D. Labrom , Geoffrey N. Askin , J. Paige Little

Reducing the incidence of surgical site infections (SSIs) is one of the objectives of the French nosocomial infection control program. Manual monitoring of SSIs is carried out each year by the hospital hygiene team and surgeons at the…

Running is a widely practiced activity but shows a high incidence of knee injuries, especially Patellofemoral Pain Syndrome (PFPS) and Iliotibial Band Syndrome (ITBS). Identifying gait patterns linked to these injuries can improve clinical…

Accurate diagnosis of gait impairments is often hindered by subjective or costly assessment methods, with current solutions requiring either expensive multi-camera equipment or relying on subjective clinical observation. There is a critical…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Lauhitya Reddy , Ketan Anand , Shoibolina Kaushik , Corey Rodrigo , J. Lucas McKay , Trisha M. Kesar , Hyeokhyen Kwon

Early detection is crucial to prevent the progression of Alzheimer's disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis of AD in the earliest and…

Machine Learning · Computer Science 2021-05-19 Alejandro Puente-Castro , Enrique Fernandez-Blanco , Alejandro Pazos , Cristian R. Munteanu
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