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In recent advancement towards computer based diagnostics system, the classification of brain tumor images is a challenging task. This paper mainly focuses on elevating the classification accuracy of brain tumor images with transfer learning…

Image and Video Processing · Electrical Eng. & Systems 2022-06-20 Pramit Dutta , Khaleda Akhter Sathi , Md. Saiful Islam

In the current technological era, the medical profession has emerged as one of the researchers' favorite subject areas, and cancer is one of them. Because there is now no effective treatment for this illness, it is a matter of concern. Only…

Machine Learning · Computer Science 2024-10-23 Praneeth Kumar T , Nidhi Srivastava , Rakshith Mahishi , Chayadevi M L

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but complementary quality requirements beyond a mere classification…

Image and Video Processing · Electrical Eng. & Systems 2023-05-11 Maximilian Springenberg , Annika Frommholz , Markus Wenzel , Eva Weicken , Jackie Ma , Nils Strodthoff

Breast cancer is one of the leading causes of death across the world in women. Early diagnosis of this type of cancer is critical for treatment and patient care. Computer-aided detection (CAD) systems using convolutional neural networks…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

The task of multimodal cancer detection is to determine the locations and categories of lesions by using different imaging techniques, which is one of the key research methods for cancer diagnosis. Recently, deep learning-based object…

Image and Video Processing · Electrical Eng. & Systems 2023-12-06 Yan Tian , Zhaocheng Xu , Yujun Ma , Weiping Ding , Ruili Wang , Zhihong Gao , Guohua Cheng , Linyang He , Xuran Zhao

Precise breast cancer classification on histopathological images has the potential to greatly improve the diagnosis and patient outcome in oncology. The data imbalance problem largely stems from the inherent imbalance within medical image…

Image and Video Processing · Electrical Eng. & Systems 2024-11-28 Majid Behzadpour , Bengie L. Ortiz , Ebrahim Azizi , Kai Wu

Lung cancer, a malignancy originating in lung tissues, is commonly diagnosed and classified using medical imaging techniques, particularly computed tomography (CT). Despite the integration of machine learning and deep learning methods, the…

Image and Video Processing · Electrical Eng. & Systems 2025-10-21 Olajumoke O. Adekunle , Joseph D. Akinyemi , Khadijat T. Ladoja , Olufade F. W. Onifade

A supervised diagnosis system for digital mammogram is developed. The diagnosis processes are done by transforming the data of the images into a feature vector using wavelets multilevel decomposition. This vector is used as the feature…

Image and Video Processing · Electrical Eng. & Systems 2020-03-09 Essam A. Rashed , and Mohamed G. Awad

Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast cancer not only requires professionals and time, but also…

Image and Video Processing · Electrical Eng. & Systems 2024-04-15 MingXuan Xiao , Yufeng Li , Xu Yan , Min Gao , Weimin Wang

Breast Cancer is the most common cancer among women, which is also visible in men, and accounts for more than 1 in 10 new cancer diagnoses each year. It is also the second most common cause of women who die from cancer. Hence, it…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Kanan Mahammadli , Abdullah Burkan Bereketoglu , Ayse Gul Kabakci

Early detection is crucial for successful cancer treatment and increasing survivability rates, particularly in the most common forms. Ten different cancers have been identified in most of these advances that effectively use CNNs…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Hossein Molaeian , Kaveh Karamjani , Sina Teimouri , Saeed Roshani , Sobhan Roshani

Breast cancer is one of the most major causes of death among women, after lung cancer. Breast cancer detection advancements can increase the survival rate of patients through earlier detection. Breast cancer that can be detected by using…

Image and Video Processing · Electrical Eng. & Systems 2024-09-26 Kashif Ishaq , Muhammad Mustagis

The automated detection of cancerous tumors has attracted interest mainly during the last decade, due to the necessity of early and efficient diagnosis that will lead to the most effective possible treatment of the impending risk. Several…

Image and Video Processing · Electrical Eng. & Systems 2023-10-13 Vasileios E. Papageorgiou , Pantelis Dogoulis , Dimitrios-Panagiotis Papageorgiou

This research presents a machine-learning approach for tumor detection in medical images using convolutional neural networks (CNNs). The study focuses on preprocessing techniques to enhance image features relevant to tumor detection,…

Image and Video Processing · Electrical Eng. & Systems 2024-03-01 Ha Anh Vu

Neural networks have become the standard technique for medical diagnostics, especially in cancer detection and classification. This work evaluates the performance of Vision Transformers architectures, including Swin Transformer and MaxViT,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Óscar A. Martín , Javier Sánchez

Deep learning has shown promising results in medical image analysis, however, the lack of very large annotated datasets confines its full potential. Although transfer learning with ImageNet pre-trained classification models can alleviate…

Computer Vision and Pattern Recognition · Computer Science 2018-08-16 Ken C. L. Wong , Tanveer Syeda-Mahmood , Mehdi Moradi

Melanoma is a sort of skin cancer that starts in the cells known as melanocytes. It is more dangerous than other types of skin cancer because it can spread to other organs. Melanoma can be fatal if it spreads to other parts of the body.…

Image and Video Processing · Electrical Eng. & Systems 2023-12-05 Md. Fahim Uddin , Nafisa Tafshir , Mohammad Monirujjaman Khan

Breast cancer is one of the most common cause of deaths among women. Mammography is a widely used imaging modality that can be used for cancer detection in its early stages. Deep learning is widely used for the detection of cancerous masses…

Computer Vision and Pattern Recognition · Computer Science 2021-03-08 Ahmed Rasheed , Muhammad Shahzad Younis , Junaid Qadir , Muhammad Bilal

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