[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118530-en":3,"doc-seo-118530-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118530,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Skin Disease Prediction by Images Using Machine Learning Algorithms - Thesis","A graduate thesis investigates skin disease prediction from images using machine learning algorithms. The study outlines the problem statement, research aim, and significance, then reviews related work including dermatological diagnosis aided by augmented reality and teledermatology, as well as deep learning, transfer learning, and real-world impact. System analysis covers the detection technique, experimental protocol, datasets, and software/hardware setup, culminating in the applied model and evaluation approach.","CALIFORNIA STATE UNIVERSITY, NORTHRIDGE  \nSKIN DISEASE PREDICTION BY IMAGES USING  \nMACHINE LEARNING ALGORITHMS  \nA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science  \nBy  \nUdaya Kesava Sai Praneeth Jonnalagedda  \nDECEMBER-2024  \nThe thesis of Udaya Kesava Sai Praneeth Jonnalagedda is approved:  \nDr. Jeff Wiegley Date  \nProf. Sevada Isayan Date  \nDr. Mahdi Ebrahimi, Chair Date  \nCalifornia State University, Northridge  \nAcknowledgment  \nI am incredibly appreciative of Dr. Mahdi Ebrahimi's essential mentorship, advice, and assistance during the preparation of my thesis. Dr. Mahdi's expertise, insightful feedback, and encouragement have been essential in shaping the direction and quality of this study. Having Dr. Mahdi as my mentor has been a true blessing, and I owe him a lot of gratitude for his tolerance, insight, and commitment to fostering my academic development.  \nI want to express my gratitude to California State University Northridge for its resources and facilities, which made my research much easier. Having access to pertinent literature, software, and technology was essential to completing this work successfully.  \nI also want to thank my parents from the bottom of my heart for their sacrifices, love, and support. Their unwavering encouragement, faith in my potential, and selflessness have been the pillars of my academic career. I will always be appreciative of their unfailing faith in me and their unconditional affection.  \nDedication  \nTo my amazing family,  \nMom and Dad,  \nYou've been the heartbeat of my journey. Thank you from the bottom of my heart! Words can't fully express my gratitude and appreciation for everything you’ve done. You’ve been my source of inspiration, support, and guidance. You’ve taught me the importance of staying determined, believing in myself, and never giving up. Without your support, I wouldn't be where I am today.  \nMom, your kind words and endless support have lifted me in my hardest times. During our late-night talks, you always knew just what to say to calm my worries and give me strength to keep going. Your belief in my dreams has been a light in every tough moment, reminding me I’m never alone.  \nDad, your quiet strength has given me courage beyond words. You may not speak much, but your steady presence and support have shown me what true dedication and strength are. You’ve made countless sacrifices, and even when I doubted myself, your faith in me pushed me to keep trying and believe in what I could achieve.  \nWith my deepest love and gratitude,  \nSai Praneeth.  \nTable of Contents  \nSignature page............................................................................................................................ii  \nAcknowledgment ......................................................................................................................iii  \nDedication .................................................................................................................................iv  \nList of Figures ..........................................................................................................................vii  \nList of Abbreviations...............................................................................................................viii  \nAbstract ..................................................................................................................................... ix  \nCHAPTER 1 INTRODUCTION ............................................................................................... 1  \n1.1 Introduction ...................................................................................................................... 1  \n1.2 Statement of the Problem .................................................................................................2  \n1.3 Background and Study Context ...........................................................................","cbCaioj2GT76axN4","https://ap.wps.com/l/cbCaioj2GT76axN4","pdf",3457972,1,78,"English","en",105,"# CHAPTER 1 INTRODUCTION\n## 1.1 Introduction\n## 1.2 Statement of the Problem\n## 1.3 Background and Study Context\n## 1.4 Aim\n## 1.5 Significance of the Study\n# CHAPTER 2 LITERATURE SURVEY\n## 2.1 Introduction\n## 2.2 Dermatological diagnosis by advancements in augmented reality (AR) and teledermatology\n## 2.3 Deep learning algorithms in Skin Disease Detection\n## 2.4 Transfer Learning Algorithms in Skin Disease Detection\n## 2.5 Real-Life Usage and Influence\n## 2.6 Collaboration Between AI and Healthcare Professionals in Skin Disease Detection\n# CHAPTER 3 SYSTEM ANALYSIS\n## 3.1 Skin Disease Detection technique\n## 3.2 Experimental protocol\n## 3.3 Datasets\n## 3.4 Software and hardware\n## 3.5 Applied model","[{\"question\":\"What is the main goal of the thesis on skin disease prediction?\",\"answer\":\"The thesis aims to predict skin diseases from images using machine learning approaches, establishing the research problem, objectives, and study significance.\"},{\"question\":\"What areas are covered in the literature survey?\",\"answer\":\"The literature survey covers dermatological diagnosis via augmented reality and teledermatology, deep learning and transfer learning methods for skin disease detection, and real-life usage and healthcare collaboration.\"},{\"question\":\"What does the system analysis section include?\",\"answer\":\"System analysis includes the detection technique, experimental protocol, datasets, software and hardware setup, and the applied model.\"}]","Skin Disease Prediction by Images Using Machine Learning Algorithms - 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