Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …

Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …

Breast cancer is the leading type of malignant tumor observed in women and the effective
treatment depends on its early diagnosis. Diagnosis from histopathological images remains …

Cytological evaluation by microscopic image-based characterization [imprint cytology (IC)
and fine needle aspiration cytology (FNAC)] plays an integral role in primary …

Pathological examination of microscopic image of Pap smear slide remains the main
method for cervical cancer diagnosis. The accurate segmentation and classification of …

Among the predominant cancers, breast cancer is one of the main causes of cancer deaths
impacting women worldwide. However, breast cancer classification is challenging due to …

Colour and texture are two perceptual stimuli that determine, to a great extent, the
appearance of objects, materials and scenes. The ability to process texture and colour is a …

Breast cancer is becoming a leading death of women all over the world; clinical experiments
demonstrate that early detection and accurate diagnosis can increase the potential of …

Cancer identification and classification from histopathological images of the breast depends
greatly on experts, and computer-aided diagnosis can play an important role in …

Digital pathology has led to a demand for automated detection of regions of interest, such as
cancerous tissue, from scanned whole slide images. With accurate methods using image …