Automatic detection of ultrasound breast lesions: a novel saliency detection model based on multiple priors

[1]  Huazhu Fu,et al.  Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images , 2021, Medical Image Anal..

[2]  Fei Xu,et al.  Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling , 2019, Artif. Intell. Medicine.

[3]  Vivek Kumar Singh,et al.  Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework , 2020, Expert Syst. Appl..

[4]  Hamid Tairi,et al.  Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images , 2020, Biomed. Signal Process. Control..

[5]  Linda K. Olson,et al.  Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network , 2020, Biomed. Signal Process. Control..

[6]  Chang Liu,et al.  DsUnet: A New Network Structure for Detection and Segmentation of Ultrasound Breast Lesions , 2020, J. Medical Imaging Health Informatics.

[7]  Vivek Kumar Singh,et al.  Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network , 2018, Expert Syst. Appl..

[8]  X. Cui,et al.  Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning. , 2019, Radiology.

[9]  Chengcheng Liu,et al.  M-Net: A Novel U-Net With Multi-Stream Feature Fusion and Multi-Scale Dilated Convolutions for Bile Ducts and Hepatolith Segmentation , 2019, IEEE Access.

[10]  Boris Escalante-Ramírez,et al.  Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization , 2019, IbPRIA.

[11]  Manu Goyal,et al.  Breast ultrasound lesions recognition: end-to-end deep learning approaches , 2018, Journal of medical imaging.

[12]  Xiaoling Tang,et al.  Salient object detection method for breast tumor in ultrasound images based on absorbing Markov chain. , 2019, Journal of X-ray science and technology.

[13]  Nitin Kumar,et al.  Brain Tumor Detection Using Manifold Ranking in FLAIR MRI , 2019, Proceedings of ICETIT 2019.

[14]  Chao Tao,et al.  New one-step model of breast tumor locating based on deep learning. , 2019, Journal of X-ray science and technology.

[15]  Reyer Zwiggelaar,et al.  Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks , 2018, IEEE Journal of Biomedical and Health Informatics.

[16]  Ying Wang,et al.  A Hybrid Framework for Tumor Saliency Estimation , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

[17]  Guowu Yang,et al.  Breast Tumor Detection in Ultrasound Images Using Deep Learning , 2017, Patch-MI@MICCAI.

[18]  Xiaoming Xi,et al.  Breast tumor segmentation with prior knowledge learning , 2017, Neurocomputing.

[19]  Ke Chen,et al.  An Automatic Localization Algorithm for Ultrasound Breast Tumors Based on Human Visual Mechanism , 2017, Sensors.

[20]  Karem D. Marcomini,et al.  Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images , 2016, Int. J. Biomed. Imaging.

[21]  Esmat Rashedi,et al.  Detection of cancer tumors in mammography images using support vector machine and mixed gravitational search algorithm , 2016, 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).

[22]  Fei Xu,et al.  A saliency model for automated tumor detection in breast ultrasound images , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[23]  Huchuan Lu,et al.  Salient object detection via global and local cues , 2015, Pattern Recognit..

[24]  Huchuan Lu,et al.  Saliency detection via Cellular Automata , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[25]  Huchuan Lu,et al.  Saliency detection via background and foreground seed selection , 2015, Neurocomputing.

[26]  Min Xian,et al.  Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains , 2015, Pattern Recognit..

[27]  Gerard Pons,et al.  Computerized detection of breast lesions using deformable part models in ultrasound images. , 2014, Ultrasound in medicine & biology.

[28]  Sos S. Agaian,et al.  Guest Editorial: Computer-Aided Detection or Diagnosis (CAD) Systems , 2014, IEEE Syst. J..

[29]  Muhammed Salem,et al.  Automatic quick-shift method for color image segmentation , 2013, 2013 8th International Conference on Computer Engineering & Systems (ICCES).

[30]  Hongyu Li,et al.  SDSP: A novel saliency detection method by combining simple priors , 2013, 2013 IEEE International Conference on Image Processing.

[31]  Pascal Fua,et al.  SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[32]  Ling Zhang,et al.  Automated breast cancer detection and classification using ultrasound images: A survey , 2015, Pattern Recognit..

[33]  Sabine Süsstrunk,et al.  Frequency-tuned salient region detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[34]  Heng-Da Cheng,et al.  Approaches for automated detection and classification of masses in mammograms , 2006, Pattern Recognit..

[35]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .