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Related papers: Large-scale Gastric Cancer Screening and Localizat…

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Tomography medical imaging is essential in the clinical workflow of modern cancer radiotherapy. Radiation oncologists identify cancerous tissues, applying delineation on treatment regions throughout all image slices. This kind of task is…

Computer Vision and Pattern Recognition · Computer Science 2019-04-08 Chun-Hung Chao , Yen-Chi Cheng , Hsien-Tzu Cheng , Chi-Wen Huang , Tsung-Ying Ho , Chen-Kan Tseng , Le Lu , Min Sun

Lung cancer is the leading cause of cancer-related mortality worldwide. Lung cancer screening (LCS) using annual low-dose computed tomography (CT) scanning has been proven to significantly reduce lung cancer mortality by detecting cancerous…

Fluorodeoxyglucose (FDG) positron emission tomography (PET) combined with computed tomography (CT) is considered the primary solution for detecting some cancers, such as lung cancer and melanoma. Automatic segmentation of tumors in PET/CT…

Image and Video Processing · Electrical Eng. & Systems 2023-09-15 Linghan Cai , Jianhao Huang , Zihang Zhu , Jinpeng Lu , Yongbing Zhang

The Wireless Capsule Endoscopy (WCE) is becoming a popular way of screening gastrointestinal system diseases and cancer. However, the time-consuming process in inspecting WCE data limits its applications and increases the cost of…

Computer Vision and Pattern Recognition · Computer Science 2018-09-10 Xiaolu Zhang , Shiwan Zhao , Lingxi Xie

Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes. In response to the critical need for accurate prognosis in cancer patients, the medical…

Image and Video Processing · Electrical Eng. & Systems 2024-04-16 Xu Yan , Weimin Wang , MingXuan Xiao , Yufeng Li , Min Gao

Clinical cystoscopy, the current standard for bladder cancer diagnosis, suffers from significant reliance on physician expertise, leading to variability and subjectivity in diagnostic outcomes. There is an urgent need for objective,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Jinliang Yu , Mingduo Xie , Yue Wang , Tianfan Fu , Xianglai Xu , Jiajun Wang

Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans. However, the segmentation accuracy of some small organs (e.g., the pancreas) is sometimes below satisfaction, arguably because deep…

Computer Vision and Pattern Recognition · Computer Science 2017-06-22 Yuyin Zhou , Lingxi Xie , Wei Shen , Yan Wang , Elliot K. Fishman , Alan L. Yuille

Pancreatic cancer, characterized by its notable prevalence and mortality rates, demands accurate lesion delineation for effective diagnosis and therapeutic interventions. The generalizability of extant methods is frequently compromised due…

Image and Video Processing · Electrical Eng. & Systems 2025-05-06 Jun Li , Yijue Zhang , Haibo Shi , Minhong Li , Qiwei Li , Xiaohua Qian

Hepatocellular carcinoma (HCC) is the second most frequent cause of malignancy-related death and is one of the diseases with the highest incidence in the world. Because the liver is the only organ in the human body that is supplied by two…

Computer Vision and Pattern Recognition · Computer Science 2019-07-25 Jiechao Ma , Yingqian Chen , Yu Chen , Fengkai Wan , Sumin Xue , Ziping Li , Shiting Feng

Deep learning-based computer-aided diagnosis has achieved unprecedented performance in breast cancer detection. However, most approaches are computationally intensive, which impedes their broader dissemination in real-world applications. In…

Image and Video Processing · Electrical Eng. & Systems 2022-01-14 Jiaqiao Shi , Aleksandar Vakanski , Min Xian , Jianrui Ding , Chunping Ning

Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo imaging would be required. For example, intraoperative…

Computer Vision and Pattern Recognition · Computer Science 2019-03-07 Nils Gessert , Lukas Wittig , Daniel Drömann , Tobias Keck , Alexander Schlaefer , David B. Ellebrecht

Cervical cancer, the fourth leading cause of cancer in women globally, requires early detection through Pap smear tests to identify precancerous changes and prevent disease progression. In this study, we performed a focused analysis by…

Image and Video Processing · Electrical Eng. & Systems 2025-05-22 Abdul Samad Shaik , Shashaank Mattur Aswatha , Rahul Jashvantbhai Pandya

We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We work on a supervised segmentation task looking for an acceptable compromise between the precision of the network and the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-30 Mickael Tardy , Diana Mateus

Pancreatic cancer is one of the deadliest types of cancer, with 25% of the diagnosed patients surviving for only one year and 6% of them for five. Computed tomography (CT) screening trials have played a key role in improving early detection…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Agapi Davradou

Lung cancer is the leading reason behind cancer-related deaths within the world. Early detection of lung nodules is vital for increasing the survival rate of cancer patients. Traditionally, physicians should manually identify the world…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Hasan Hejbari Zargar , Saha Hejbari Zargar , Raziye Mehri , Farzane Tajidini

The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Shujun Wang , Yaxi Zhu , Lequan Yu , Hao Chen , Huangjing Lin , Xiangbo Wan , Xinjuan Fan , Pheng-Ann Hen

Breast cancer has the highest incidence and second highest mortality rate for women in the US. Our study aims to utilize deep learning for benign/malignant classification of mammogram tumors using a subset of cases from the Digital Database…

Computer Vision and Pattern Recognition · Computer Science 2017-05-19 Darvin Yi , Rebecca Lynn Sawyer , David Cohn , Jared Dunnmon , Carson Lam , Xuerong Xiao , Daniel Rubin

Prevention and early diagnosis of breast cancer (BC) is an essential prerequisite for the selection of proper treatment. The substantial pressure due to the increase of demand for faster and more precise diagnostic results drives for…

Image and Video Processing · Electrical Eng. & Systems 2021-06-29 Peter Bokor , Lukas Hudec , Ondrej Fabian , Wanda Benesova

Lung cancer has been one of the most prevalent disease in recent years. According to the research of this field, more than 200,000 cases are identified each year in the US. Uncontrolled multiplication and growth of the lung cells result in…

Image and Video Processing · Electrical Eng. & Systems 2022-01-04 Hesamoddin Hosseini , Reza Monsefi , Shabnam Shadroo

Early detection of lung cancer is crucial for effective treatment and relies on accurate volumetric assessment of pulmonary nodules in CT scans. Traditional methods, such as consolidation-to-tumor ratio (CTR) and spherical approximation,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-29 Yihan Zhou , Haocheng Huang , Yue Yu , Jianhui Shang