Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic? von Hagerty, Jason R., Nambisan, Anand, Stanley, R. Joe, Stoecker, William V.

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Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images von Hagerty, Jason R., Stanley, R. Joe, Almubarak, Haidar A., Lama, Norsang, Kasmi, Reda, Guo, Peng, Drugge, Rhett J., Rabinovitz, Harold S., Oliviero, Margaret, Stoecker, William V.

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ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images von Lama, Norsang, Kasmi, Reda, Hagerty, Jason R., Stanley, R. Joe, Young, Reagan, Miinch, Jessica, Nepal, Januka, Nambisan, Anand, Stoecker, William V.

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Hybrid Topological Data Analysis and Deep Learning for Basal Cell Carcinoma Diagnosis von Maurya, Akanksha, Stanley, R Joe, Lama, Norsang, Nambisan, Anand K, Patel, Gehana, Saeed, Daniyal, Swinfard, Samantha, Smith, Colin, Jagannathan, Sadhika, Hagerty, Jason R, Stoecker, William V

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Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features von Maurya, Akanksha, Stanley, R Joe, Aradhyula, Hemanth Y, Lama, Norsang, Nambisan, Anand K, Patel, Gehana, Saeed, Daniyal, Swinfard, Samantha, Smith, Colin, Jagannathan, Sadhika, Hagerty, Jason R, Stoecker, William V

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Automatic lesion border selection in dermoscopy images using morphology and color features von Mishra, Nabin K., Kaur, Ravneet, Kasmi, Reda, Hagerty, Jason R., LeAnder, Robert, Stanley, Ronald J., Moss, Randy H., Stoecker, William V.

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Adaptable Ring for Vision-Based Measurements and Shape Analysis von Maddala, Kanakam Teja, Moss, Randy H., Stoecker, William V., Hagerty, Jason R., Cole, Justin G., Mishra, Nabin K., Stanley, R. Joe

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Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images von Sforza, G., Castellano, G., Arika, S. A., LeAnder, R. W., Stanley, R. J., Stoecker, W. V., Hagerty, J. R.

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Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation von Nambisan, Anand K., Lama, Norsang, Phan, Thanh, Swinfard, Samantha, Lama, Binita, Smith, Colin, Rajeh, Ahmad, Patel, Gehana, Hagerty, Jason, Stoecker, William V., Stanley, Ronald J.

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EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images von Sornapudi, Sudhir, Hagerty, Jason, Stanley, R. Joe, Stoecker, William V., Long, Rodney, Antani, Sameer, Thoma, George, Zuna, Rosemary, Frazier, Shellaine R.

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Skin Lesion Segmentation in Dermoscopic Images with Noisy Data von Lama, Norsang, Hagerty, Jason, Nambisan, Anand, Stanley, Ronald Joe, Van Stoecker, William

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SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images von Kasmi, Reda, Hagerty, Jason, Young, Reagan, Lama, Norsang, Nepal, Januka, Miinch, Jessica, Stoecker, William, Stanley, R Joe

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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation von Lama, Norsang, Stanley, Ronald Joe, Lama, Binita, Maurya, Akanksha, Nambisan, Anand, Hagerty, Jason, Phan, Thanh, Van Stoecker, William

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Optical Oxygen Sensor Patch Printed With Polystyrene Microparticles-Based Ink on Flexible Substrate von Bose, Mousumi, Hagerty, Jason, Boes, Jason, Kim, Chang-Soo, Stoecker, William V., Nam, Paul

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Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks von Nambisan, Anand K, Maurya, Akanksha, Lama, Norsang, Phan, Thanh, Patel, Gehana, Miller, Keith, Lama, Binita, Hagerty, Jason, Stanley, Ronald, Stoecker, William V

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Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location von Kaur, R., Albano, P. P., Cole, J. G., Hagerty, J., LeAnder, R. W., Moss, R. H., Stoecker, W. V.

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Fuzzy logic color detection: Blue areas in melanoma dermoscopy images von Lingala, Mounika, Joe Stanley, R, Rader, Ryan K, Hagerty, Jason, Rabinovitz, Harold S, Oliviero, Margaret, Choudhry, Iqra, Stoecker, William V

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A Comparative Assessment of Segmentations on Skin Lesion Through Various Entropy and Six Sigma Thresholds von Sankaran, Srinivasan, Hagerty, Jason R., Malarvel, Muthukumaran, Sethumadhavan, Gopalakrishnan, Stoecker, William V.

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Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion von Lama, Norsang, Stanley, R. Joe, Nambisan, Anand, Maurya, Akanksha, Hagerty, Jason, Stoecker, William V

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Fusion of deep learning and handcrafted techniques in dermoscopy image analysis von Stoecker, William V, Kasmi, Reda, Mishra, Nabin K, Lama, Norsang, Hagerty, Jason R, Jella, Pavani

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