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Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very useful in assisting radiologists with a second opinion about…

Medical Physics · Physics 2007-05-23 A. Retico , P. Delogu , M. E. Fantacci , P. Kasae

Breast cancer is a significant cause of death from cancer in women globally, highlighting the need for improved diagnostic imaging to enhance patient outcomes. Accurate tumour identification is essential for diagnosis, treatment, and…

Image and Video Processing · Electrical Eng. & Systems 2024-05-15 Chi-en Amy Tai , Alexander Wong

Ultrasound (US) is the most commonly used liver imaging modality worldwide. It plays an important role in follow-up of cancer patients with liver metastases. We present an interactive segmentation approach for liver tumors in US…

Computer Vision and Pattern Recognition · Computer Science 2016-06-29 Jan Egger , Philip Voglreiter , Mark Dokter , Michael Hofmann , Xiaojun Chen , Wolfram G. Zoller , Dieter Schmalstieg , Alexander Hann

According to the World Health Organization, breast cancer is the most common form of cancer in women. It is the second leading cause of death among women round the world, becoming the most fatal form of cancer. Mammographic image…

Computer Vision and Pattern Recognition · Computer Science 2018-01-08 Filipe Rolim Cordeiro , Wellington Pinheiro dos Santos , Abel Guilhermino da Silva Filho

Fine-grained classification of cervical cells into different abnormality levels is of great clinical importance but remains very challenging. Contrary to traditional classification methods that rely on hand-crafted or engineered features,…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Haoming Lin , Yuyang Hu , Siping Chen , Jianhua Yao , Ling Zhang

The past years have seen a considerable increase in cancer cases. However, a cancer diagnosis is often complex and depends on the types of images provided for analysis. It requires highly skilled practitioners but is often time-consuming…

Image and Video Processing · Electrical Eng. & Systems 2022-10-24 Solene Bechelli

Early detection of myometrial invasion is critical for the staging and life-saving management of endometrial carcinoma (EC), a prevalent global malignancy. Transvaginal ultrasound serves as the primary, accessible screening modality in…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Dongjing Shan , Yamei Luo , Jiqing Xuan , Lu Huang , Jin Li , Mengchu Yang , Zeyu Chen , Fajin Lv , Yong Tang , Chunxiang Zhang

Automatic tumor or lesion segmentation is a crucial step in medical image analysis for computer-aided diagnosis. Although the existing methods based on Convolutional Neural Networks (CNNs) have achieved the state-of-the-art performance,…

Image and Video Processing · Electrical Eng. & Systems 2022-08-01 Shuchao Pang , Anan Du , Mehmet A. Orgun , Yan Wang , Quan Z. Sheng , Shoujin Wang , Xiaoshui Huang , Zhenmei Yu

Traditional breast cancer imaging methods using microwave Nearfield Radar Imaging (NRI) seek to recover the complex permittivity of the tissues at each voxel in the imaging region. This approach is suboptimal, in that it does not directly…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Richard Obermeier , Jose Angel Martinez-Lorenzo

Pancreatic cancer is a lethal form of cancer that significantly contributes to cancer-related deaths worldwide. Early detection is essential to improve patient prognosis and survival rates. Despite advances in medical imaging techniques,…

Image and Video Processing · Electrical Eng. & Systems 2023-12-29 Abhijit Ramesh , Anantha Nandanan , Nikhil Boggavarapu , Priya Nair MD , Gilad Gressel

Automated detection and classification of cervical cells in conventional Pap smear images can strengthen cervical cancer screening at scale by reducing manual workload, improving triage, and increasing consistency across readers. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Lautaro Kogan , María Victoria Ríos

It is of great significance to diagnose Invasive Ductal Carcinoma (IDC) in early stage, which is the most common subtype of breast cancer. Although the powerful models in the Computer-Aided Diagnosis (CAD) systems provide promising results,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-07 Yujia Lin , Aiwei Lian , Mingyu Liao , Shuangjie Yuan

Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed…

Computer Vision and Pattern Recognition · Computer Science 2017-09-21 Marc Aubreville , Christian Knipfer , Nicolai Oetter , Christian Jaremenko , Erik Rodner , Joachim Denzler , Christopher Bohr , Helmut Neumann , Florian Stelzle , Andreas Maier

Micro Abstract: A recent study from GLOBOCAN disclosed that during 2018 two million women worldwide had been diagnosed from breast cancer. This study presents a computer-aided diagnosis system based on convolutional neural networks as an…

Computer Vision and Pattern Recognition · Computer Science 2019-10-31 Juan Zuluaga-Gomez , Zeina Al Masry , Khaled Benaggoune , Safa Meraghni , Noureddine Zerhouni

Computational pathology is part of precision oncology medicine. The integration of high-throughput data including genomics, transcriptomics, proteomics, metabolomics, pathomics, and radiomics into clinical practice improves cancer treatment…

Image and Video Processing · Electrical Eng. & Systems 2022-06-07 Liangrui Pan , Zhichao Feng , Shaoliang Peng

Image segmentation is often performed on medical images for identifying diseases in clinical evaluation. Hence it has become one of the major research areas. Conventional image segmentation techniques are unable to provide satisfactory…

Computer Vision and Pattern Recognition · Computer Science 2017-02-13 Pratik Kalshetti , Manas Bundele , Parag Rahangdale , Dinesh Jangra , Chiranjoy Chattopadhyay , Gaurav Harit , Abhay Elhence

Breast cancer is the most common cancer in women worldwide. The most common screening technology is mammography. To reduce the cost and workload of radiologists, we propose a computer aided detection approach for classifying and localizing…

Computer Vision and Pattern Recognition · Computer Science 2018-03-07 Pengcheng Xi , Chang Shu , Rafik Goubran

Malignant melanoma has one of the most rapidly increasing incidences in the world and has a considerable mortality rate. Early diagnosis is particularly important since melanoma can be cured with prompt excision. Dermoscopy images play an…

Computer Vision and Pattern Recognition · Computer Science 2017-03-20 Lei Bi , Jinman Kim , Euijoon Ahn , Dagan Feng

Cervical cancer is the fourth most common category of cancer, affecting more than 500,000 women annually, owing to the slow detection procedure. Early diagnosis can help in treating and even curing cancer, but the tedious, time-consuming…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Rohit Kundu , Hritam Basak , Akhil Koilada , Soham Chattopadhyay , Sukanta Chakraborty , Nibaran Das

Colorectal cancer (CRC) is the third most diagnosed cancer and the second leading cause of cancer-related death worldwide. Accurate histopathological grading of CRC is essential for prognosis and treatment planning but remains a subjective…