A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation

[1]  O. Olugbara,et al.  Preprocessing Effects on Performance of Skin Lesion Saliency Segmentation , 2022, Diagnostics.

[2]  A. Jemal,et al.  Cancer statistics, 2022 , 2022, CA: a cancer journal for clinicians.

[3]  Qichao Zhou,et al.  Boundary-Aware Transformers for Skin Lesion Segmentation , 2021, MICCAI.

[4]  Jie Yang,et al.  Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence , 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[5]  Majid Ziaratban,et al.  Skin lesion segmentation from dermoscopic images by using Mask R-CNN, Retina-Deeplab, and graph-based methods , 2021, Biomed. Signal Process. Control..

[6]  Muhammad Sharif,et al.  Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework , 2021, Pattern Recognit. Lett..

[7]  A. Jemal,et al.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.

[8]  Tom Vercauteren,et al.  CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation , 2020, IEEE Transactions on Medical Imaging.

[9]  Hao Chen,et al.  Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[10]  Aysegül Uçar,et al.  Skin lesion segmentation using fully convolutional networks: A comparative experimental study , 2020, Expert Syst. Appl..

[11]  Geraldo Braz Junior,et al.  A Skin Lesion Semi-supervised Segmentation Method , 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

[12]  Syed Rameez Naqvi,et al.  A multilevel features selection framework for skin lesion classification , 2020, Human-centric Computing and Information Sciences.

[13]  D. Jude Hemanth,et al.  Bat Algorithm Based Non-linear Contrast Stretching for Satellite Image Enhancement , 2020, Geosciences.

[14]  Chunhua Shen,et al.  A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification , 2019, IEEE Transactions on Medical Imaging.

[15]  Joey Tianyi Zhou,et al.  iMSCGnet: Iterative Multi-Scale Context-Guided Segmentation of Skin Lesion in Dermoscopic Images , 2020, IEEE Access.

[16]  Muhammad Rashid,et al.  An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection , 2019, Neural Computing and Applications.

[17]  Raghad Abdulaali Azeez,et al.  Skin Lesion Segmentation by using Deep Learning Techniques , 2019, 2019 Medical Technologies Congress (TIPTEKNO).

[18]  Wei Sun,et al.  Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging , 2019, Comput. Methods Programs Biomed..

[19]  Russell C. Hardie,et al.  Deep Learning Ensemble Methods for Skin Lesion Analysis towards Melanoma Detection , 2019, 2019 IEEE National Aerospace and Electronics Conference (NAECON).

[20]  Muhammad Sharif,et al.  Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion , 2019, Microscopy research and technique.

[21]  Jie Yu,et al.  DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation , 2019, IEEE Access.

[22]  Tallha Akram,et al.  Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features , 2018, Journal of Ambient Intelligence and Humanized Computing.

[23]  Palaniappan Mirunalini,et al.  Automated skin lesion segmentation of dermoscopic images using GrabCut and k-means algorithms , 2018, IET Comput. Vis..

[24]  Tanzila Saba,et al.  An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach , 2018, Microscopy research and technique.

[25]  A. Khorana,et al.  Determination of the impact of melanoma surgical timing on survival using the National Cancer Database , 2018, Journal of the American Academy of Dermatology.

[26]  Shilpa Suresh,et al.  Modified differential evolution algorithm for contrast and brightness enhancement of satellite images , 2017, Appl. Soft Comput..

[27]  Ali Mohammad Alqudah,et al.  The melanoma skin cancer detection and classification using support vector machine , 2017, 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

[28]  Dermoscopy for the Diagnosis of Melanoma: An Overview , 2017 .

[29]  Divya Mathur,et al.  A Novel Approach to Improve Sobel Edge Detector , 2016 .

[30]  Pedro M. Ferreira,et al.  PH2 - A dermoscopic image database for research and benchmarking , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[31]  P. Sasieni,et al.  13. Cancers attributable to solar (ultraviolet) radiation exposure in the UK in 2010 , 2011, British Journal of Cancer.

[32]  Mohammad Aldeen,et al.  Border detection in dermoscopy images using hybrid thresholding on optimized color channels , 2011, Comput. Medical Imaging Graph..

[33]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[34]  A. Grinnell.  Echolocation I: Behavior , 2009 .

[35]  Agostinho C. Rosa,et al.  Towards automatic image enhancement using genetic algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).