Results 1 to 10 of about 2,410 (213)
Results in Engineering, 2023 Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early diagnosis of malignant cells in the lungs, which provide oxygen to the human body and excrete carbon dioxide because of important processes, is critical ...
Vani Rajasekar +4 more
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Diagnostics, 2022 Introduction and Background: Despite fast developments in the medical field, histological diagnosis is still regarded as the benchmark in cancer diagnosis.
Chiagoziem C. Ukwuoma +5 more
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Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks
Diagnostics, 2023 Breast cancer is responsible for the deaths of thousands of women each year. The diagnosis of breast cancer (BC) frequently makes the use of several imaging techniques.
Ahsan Rafiq +6 more
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Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Frontiers in Genetics, 2019 Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and has become a major public health issue. Early diagnosis can increase the chance of successful treatment and survival. However, it is a very challenging and
Juanying Xie +3 more
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Colour normalisation of histopathological images
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2013 Colour transfer is a prime area of research in image processing in recent years. In many real-life image applications, colour transfer of the image is required. A few methods have been developed to alter the colour appearance of the images as per the colour information of the reference image.
Mukesh Saraswat, K V Arya
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Oral squamous cell carcinoma detection using EfficientNet on histopathological images
Frontiers in MedicineIntroductionOral Squamous Cell Carcinoma (OSCC) poses a significant challenge in oncology due to the absence of precise diagnostic tools, leading to delays in identifying the condition. Current diagnostic methods for OSCC have limitations in accuracy and
Eid Albalawi +7 more
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Classification and localization of gastric cancer using Multi-Information Fusion Network [PDF]
Revista Română de Informatică și Automatică, 2023 Diagnosing and differentiating gastric cancer cells from stomach ulcers requires high-domain expertise and is time-consuming. Furthermore, medical image processing requires extremely high segmentation accuracy, which may lack interpretability and ...
Varghese Sicily Felix ENIGO +3 more
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A Robust Deep Learning-Based Approach for Detection of Breast Cancer from Histopathological Images
Engineering Proceedings, 2023 Breast cancer is a frequently encountered and potentially lethal illness that can affect not only women but also men. It is the most common disease affecting women globally, and is the main cause of morbidity and death.
Raheel Zaman +3 more
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Diagnostics, 2022 Targeted therapy is an effective treatment for non-small cell lung cancer. Before treatment, pathologists need to confirm tumor morphology and type, which is time-consuming and highly repetitive. In this study, we propose a multi-task deep learning model
Zhao Wang +9 more
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CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS USING MULTISCALE FRAMEWORK
International Journal of Advances in Signal and Image Sciences, 2022 This paper proposes an efficient Shearlet Based Childhood MedulloBlastoma (SBCMB) detection system. It is a classification system that extracts prominent characteristics for childhood MedulloBlastoma diagnosis from a given collection of histopathological
Vishal Eswaran, Usha Eswaran
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