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Medical practitioners use a number of diagnostic tests to make a reliable diagnosis. Traditionally, Haematoxylin and Eosin (H&E) stained glass slides have been used for cancer diagnosis and tumor detection. However, recently a variety of…

Image and Video Processing · Electrical Eng. & Systems 2023-12-27 Abubakr Shafique , Morteza Babaie , Ricardo Gonzalez , H. R. Tizhoosh

Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell carcinoma and adenocarcinoma are two major subtypes of carcinoma,…

Image and Video Processing · Electrical Eng. & Systems 2022-01-20 Swathi Prabhua , Keerthana Prasada , Antonio Robels-Kelly , Xuequan Lu

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

Osteosarcoma is the most common primary malignant bone tumor, which has high mortality due to easy lung metastasis. Osteosarcoma is a highly anaplastic, pleomorphic tumor with a variety of tumor cell morphology, including fusiform, oval,…

Medical Physics · Physics 2021-01-27 Yu Fu

A standard treatment protocol for breast cancer entails administering neoadjuvant therapy followed by surgical removal of the tumor and surrounding tissue. Pathologists typically rely on cabinet X-ray radiographs, known as Faxitron, to…

Image and Video Processing · Electrical Eng. & Systems 2024-01-19 Negar Golestani , Aihui Wang , Gregory R Bean , Mirabela Rusu

Hypoxia occurs when tumour cells outgrow their blood supply, leading to regions of low oxygen levels within the tumour. Calculating hypoxia levels can be an important step in understanding the biology of tumours, their clinical progression…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Petru Manescu , Joseph Geradts , Delmiro Fernandez-Reyes

Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build such diagnosis pipelines. These model architectures, although…

Image and Video Processing · Electrical Eng. & Systems 2022-01-20 Alireza Rezazadeh , Yasamin Jafarian , Ali Kord

Breast cancer is the most diagnosed cancer and the most predominant cause of death in women worldwide. Imaging techniques such as the breast cancer pathology helps in the diagnosis and monitoring of the disease. However identification of…

Image and Video Processing · Electrical Eng. & Systems 2019-08-06 Francisco Perdigon Romero , An Tang , Samuel Kadoury

Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the…

Computer Vision and Pattern Recognition · Computer Science 2017-03-14 P. Mirunalini , Aravindan Chandrabose , Vignesh Gokul , S. M. Jaisakthi

Breast cancer is one of the most common cancers among women globally, with early diagnosis and precise classification being crucial. With the advancement of deep learning and computer vision, the automatic classification of breast tissue…

Image and Video Processing · Electrical Eng. & Systems 2025-01-20 Jiacheng Hao , Yiqing Liu , Siqi Zeng , Yonghong He

Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, such as mammography, ultrasound, and thermography, which have…

Melanoma is an aggressive form of skin cancer with rapid progression and high metastatic potential. Accurate characterisation of tissue morphology in melanoma is crucial for prognosis and treatment planning. However, manual segmentation of…

Image and Video Processing · Electrical Eng. & Systems 2025-07-21 Jiaqi Lv , Yijie Zhu , Carmen Guadalupe Colin Tenorio , Brinder Singh Chohan , Mark Eastwood , Shan E Ahmed Raza

Reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low cost method for early diagnosis of breast cancer. The accuracy of the diagnosis is however highly dependent on…

Image and Video Processing · Electrical Eng. & Systems 2021-02-24 Elham Yousef Kalaf , Ata Jodeiri , Seyed Kamaledin Setarehdan , Ng Wei Lin , Kartini Binti Rahman , Nur Aishah Taib , Sarinder Kaur Dhillon

The progression of breast cancer can be quantified in lymph node whole-slide images (WSIs). We describe a novel method for effectively performing classification of whole-slide images and patient level breast cancer grading. Our method…

Computer Vision and Pattern Recognition · Computer Science 2017-07-25 Thomas Wollmann , Karl Rohr

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of…

Image and Video Processing · Electrical Eng. & Systems 2020-05-28 Saket S. Chaturvedi , Kajol Gupta , Prakash. S. Prasad

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-18 Jonathan de Matos , Alceu de Souza Britto , Luiz E. S. Oliveira , Alessandro L. Koerich

In the U.S, 5-10\% of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work is to improve the detection and diagnosis of osteosarcoma…

Image and Video Processing · Electrical Eng. & Systems 2022-12-06 D M Anisuzzaman , Hosein Barzekar , Ling Tong , Jake Luo , Zeyun Yu

Diagnosing basal cell carcinomas (BCC), one of the most common cutaneous malignancies in humans, is a task regularly performed by pathologists and dermato-pathologists. Improving histological diagnosis by providing diagnosis suggestions,…

Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow. The development of automated methods for nuclear segmentation and classification…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Simon Graham , Quoc Dang Vu , Shan E Ahmed Raza , Ayesha Azam , Yee Wah Tsang , Jin Tae Kwak , Nasir Rajpoot

Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Breast imaging plays a significant role in early diagnosis and intervention to improve the outcome of breast cancer patients. In the past…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Luyang Luo , Xi Wang , Yi Lin , Xiaoqi Ma , Andong Tan , Ronald Chan , Varut Vardhanabhuti , Winnie CW Chu , Kwang-Ting Cheng , Hao Chen