[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.22″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ background_color=”#072c72″ border_color_all=”#3255c9″ text_orientation=”right” background_layout=”dark” custom_padding=”20px|15px|15px|” z_index_tablet=”500″]<\/p>\n
2021<\/em><\/p>\n Masters Projects<\/p>\n @Computer Science<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”3.22.1″ text_orientation=”right” z_index_tablet=”500″]<\/p>\n +Medicine<\/p>\n \u00a0<\/p>\n #medical imaging<\/p>\n #computer vision<\/p>\n #content-based image retrieval<\/p>\n #data intelligent search<\/p>\n #deep learning<\/p>\n #fusion of image and text<\/p>\n #MRI<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n The field of diagnostic imaging in Radiology has experienced tremendous growth both in terms of technological development (with new modalities such as MRI, PET-CT, etc.) and market expansion. This leads to an exponential increase in the production of imaging data, moving the diagnostic imaging task in a big data challenge. However, the production of a large amount of data does not automatically allow the real exploitation of its intrinsic value for healthcare. In modern hospitals, all imaging data acquired during clinical routines are stored in a picture archiving and communication system (PACS). A PACS is a medical imaging technology providing economical storage and convenient access to images from multiple modalities. Digital images linked to patient examinations are often accompanied by a medical report in text format, summarizing the radiologist\u2019s report and the clinical data associated with the patient (age, sex, medical history, report of previous examinations, etc.). The problem with PACS systems is that they were primarily designed for archival purposes and not for image retrieval exploitation. Therefore they only allow a search by keywords (name of the patient, date of the examination, type of examination, etc.) and not by pathologies or by content of the image, and they cannot fulfill the function of diagnostic aid when the doctor is confronted with an image of difficult interpretation or of rare pathology. The objective of this project is to combine current research in computer vision and AI to implement a method making it possible to query PACS through example images in order to search for images containing similar pathological cases and to benefit radiologists as a potential decision-making aid during hospital routines.<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” _builder_version=”3.22.1″ admin_label=”Row” locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.22.1″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”31″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″ locked=”off”][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" 2021Masters Projects@Computer Science +Medicine\u00a0#medical imaging#computer vision#content-based image retrieval#data intelligent search#deep learning#fusion of image and text#MRI Project SummaryThe field of diagnostic imaging in Radiology has experienced tremendous growth both in terms of technological development (with new modalities such as MRI, PET-CT, etc.) and market expansion. This leads to an exponential increase in the production of imaging… Lire la suite Combining visual and textual informations for enhancing image retrieval systems in radiological practices<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[57,31,1,29],"tags":[],"class_list":["post-1566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-57","category-computer-science","category-diip","category-masters-internship"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1566","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1566"}],"version-history":[{"count":3,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1566\/revisions"}],"predecessor-version":[{"id":2304,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1566\/revisions\/2304"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2263"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1566"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Project Summary<\/strong><\/h3>\n
Florence Cloppet\u00a0<\/strong><\/h5>\n
Projects in the same discipline
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