Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …
and early detection of malignant melanoma. We review the state of the art in these systems …
A color and texture based hierarchical K-NN approach to the classification of non-melanoma skin lesions
This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing
Cervical cancer is a common disease in women, affecting their lives negatively and often
resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early …
resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early …
An effective hybrid framework for content based image retrieval (CBIR)
In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …
cyberspace which demands to develop automated solutions for effective content …
[PDF][PDF] Automating skin disease diagnosis using image classification
DA Okuboyejo, OO Olugbara… - proceedings of the world …, 2013 - academia.edu
There have been many attempts to implement traditional telemedicine across the world
especially in the develo** countries, but the efforts has been characterized with …
especially in the develo** countries, but the efforts has been characterized with …
[HTML][HTML] A hybrid CBIR system using novel local tetra angle patterns and color moment features
UA Khan, A Javed - Journal of King Saud University-Computer and …, 2022 - Elsevier
The exponential growth of communal media platforms including Facebook and Twitter, and
the accessibility of low-cost digital capturing devices have generated an enormous number …
the accessibility of low-cost digital capturing devices have generated an enormous number …
An efficient content-based image retrieval system for the diagnosis of lung diseases
The main problem in content-based image retrieval (CBIR) systems is the semantic gap
which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which …
which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which …
Dermoscopic image retrieval based on rotation-invariance deep hashing
Dermoscopic image retrieval technology can provide dermatologists with valuable
information such as similar confirmed skin disease cases and diagnosis reports to assist …
information such as similar confirmed skin disease cases and diagnosis reports to assist …
Content-based image retrieval techniques for the analysis of dermatological lesions using particle swarm optimization technique
GW Jiji, PJ DuraiRaj - Applied Soft Computing, 2015 - Elsevier
This method presents extraction of effective color and shape features for the analysis of
dermatology images. We employ three phases of operation in order to perform efficient …
dermatology images. We employ three phases of operation in order to perform efficient …
Content-based medical image retrieval
Publisher Summary This chapter introduced content-based image retrieval (CBIR) and its
key components. CBIR methods support full retrieval by visual content/properties of images …
key components. CBIR methods support full retrieval by visual content/properties of images …