{"id":434358,"date":"2026-08-24T17:24:31","date_gmt":"2026-08-24T09:24:31","guid":{"rendered":"https:\/\/library.usj.edu.mo\/?post_type=tnc_col_19837_item&#038;p=434358"},"modified":"2026-08-24T18:32:05","modified_gmt":"2026-08-24T10:32:05","slug":"trans-effnet-a-hybrid-model-for-brain-tumor-detection-using-efficientnet-and-transformer-encoder","status":"publish","type":"tnc_col_19837_item","link":"https:\/\/library.usj.edu.mo\/zh\/scholarly-work-usj\/trans-effnet-a-hybrid-model-for-brain-tumor-detection-using-efficientnet-and-transformer-encoder\/","title":{"rendered":"TRANS-EFFNET: A HYBRID MODEL FOR BRAIN TUMOR DETECTION USING EFFICIENTNET AND TRANSFORMER ENCODER"},"content":{"rendered":"<p>ACCURATE CLASSIFICATION OF BRAIN TUMORS FROM MRI IS CRITICAL FOR EFFECTIVE DIAGNOSIS AND TREATMENT. IN THIS STUDY, WE INTRODUCE TRANS-EFFNET, A HYBRID MODEL COMBINING PRE-TRAINED EFFICIENTNET ARCHITECTURES WITH A TRANSFORMER ENCODER TO ENHANCE BRAIN TUMOR CLASSIFICATION ACCURACY. BY LEVERAGING EFFICIENTNET&#8217;S DEEP CNN CAPABILITIES FOR LOCALIZED FEATURE EXTRACTION AND THE TRANSFORMER ENCODER FOR CAPTURING GLOBAL CONTEXTUAL RELATIONSHIPS, OUR MODEL IMPROVES THE IDENTIFICATION OF INTRICATE TUMOR CHARACTERISTICS. FINE-TUNED WITH IMAGENET-DERIVED WEIGHTS AND UTILIZING EXTENSIVE DATA AUGMENTATION, TRANS-EFFNET WAS VALIDATED ON BOTH MULTI-CLASS AND BINARY DATASETS. TRANS-EFFNETB1 ACHIEVED 99.49 % ACCURACY ON THE MULTI-CLASS DATASET, WHILE TRANS-EFFNETB2 RECORDED 99.83 % ACCURACY ON THE BINARY DATASET, WITH PERFECT PRECISION, RECALL, AND F1-SCORE. THESE RESULTS UNDERSCORE TRANS-EFFNET&#8217;S ROBUSTNESS AND POTENTIAL AS A SIGNIFICANT ADVANCEMENT IN BRAIN TUMOR DETECTION AND CLASSIFICATION.<\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","class_list":["post-434358","tnc_col_19837_item","type-tnc_col_19837_item","status-publish","format-standard","hentry","tnc_tax_19818-english","tnc_tax_19716-institute-for-data-engineering-and-sciences","tnc_tax_19659-journal-article"],"taxonomy_info":[],"featured_image_src_large":false,"author_info":[],"comment_info":0,"featured_img":false,"coauthors":[],"author_meta":{"author_link":"https:\/\/library.usj.edu.mo\/zh\/author\/emilychan\/","display_name":"emily chan"},"relative_dates":{"created":"Posted 3 \u5929 ago","modified":"Updated 3 \u5929 ago"},"absolute_dates":{"created":"Posted on 24 8 \u6708, 2026","modified":"Updated on 24 8 \u6708, 2026"},"absolute_dates_time":{"created":"Posted on 24 8 \u6708, 2026 5:24 \u4e0b\u5348","modified":"Updated on 24 8 \u6708, 2026 6:32 \u4e0b\u5348"},"featured_img_caption":"","tax_additional":{"tnc_tax_19993":{"linked":[],"unlinked":[],"slug":"tnc_tax_19993","name":"SDGs"},"tnc_tax_19818":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/language\/english\/\" class=\"advgb-post-tax-term\">ENGLISH<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">ENGLISH<\/span>"],"slug":"tnc_tax_19818","name":"LANGUAGE"},"tnc_tax_19716":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/faculty-research-unit\/institute-for-data-engineering-and-sciences\/\" class=\"advgb-post-tax-term\">INSTITUTE FOR DATA ENGINEERING AND SCIENCES<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">INSTITUTE FOR DATA ENGINEERING AND SCIENCES<\/span>"],"slug":"tnc_tax_19716","name":"FACULTY \/ RESEARCH UNIT"},"tnc_tax_19664":{"linked":[],"unlinked":[],"slug":"tnc_tax_19664","name":"SUBJECT"},"tnc_tax_19659":{"linked":["<a href=\"https:\/\/library.usj.edu.mo\/zh\/resource-type\/journal-article\/\" class=\"advgb-post-tax-term\">Journal Article<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">Journal Article<\/span>"],"slug":"tnc_tax_19659","name":"Document Type"}},"series_order":"","_links":{"self":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/434358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item"}],"about":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/types\/tnc_col_19837_item"}],"replies":[{"embeddable":true,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/comments?post=434358"}],"version-history":[{"count":1,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/434358\/revisions"}],"predecessor-version":[{"id":435745,"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/tnc_col_19837_item\/434358\/revisions\/435745"}],"wp:attachment":[{"href":"https:\/\/library.usj.edu.mo\/zh\/wp-json\/wp\/v2\/media?parent=434358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}