Cancer diagnosis using deep learning: a bibliographic review
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …
steps of cancer diagnosis followed by the typical classification methods used by doctors …
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
Deep learning for image-based cancer detection and diagnosis− A survey
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
Seven-point checklist and skin lesion classification using multitask multimodal neural nets
J Kawahara, S Daneshvar… - IEEE journal of …, 2018 - ieeexplore.ieee.org
We propose a multitask deep convolutional neural network, trained on multimodal data
(clinical and dermoscopic images, and patient metadata), to classify the 7-point melanoma …
(clinical and dermoscopic images, and patient metadata), to classify the 7-point melanoma …
Cervical cancer classification using convolutional neural networks and extreme learning machines
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed
malignant or benign–depending upon the severity of the infection and the current stage. The …
malignant or benign–depending upon the severity of the infection and the current stage. The …
What else does your biometric data reveal? A survey on soft biometrics
Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …
A survey of feature extraction in dermoscopy image analysis of skin cancer
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …
week. This makes it difficult not only to keep track of all the contributions, but also for new …
Dermoscopy image analysis: overview and future directions
Dermoscopy is a non-invasive skin imaging technique that permits visualization of features
of pigmented melanocytic neoplasms that are not discernable by examination with the …
of pigmented melanocytic neoplasms that are not discernable by examination with the …
Convolution neural networks for diagnosing colon and lung cancer histopathological images
S Mangal, A Chaurasia, A Khajanchi - arXiv preprint arXiv:2009.03878, 2020 - arxiv.org
Lung and Colon cancer are one of the leading causes of mortality and morbidity in adults.
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …