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Medical image recognition plays an essential role in the forecasting and early identification of serious diseases in the field of identification. Medical pictures are essential to a patient's health record since they may be used to control, manage, and treat illnesses. On the other hand, image categorization is a difficult problem in diagnostics. This paper provides an enhanced classifier based on the outstanding Feature Selection oriented Clinical Classifier using the Deep Learning (DL) model, which incorporates preprocessing, extraction of features, and classifying. The paper aims to develop an optimum feature extraction model for successful medical imaging categorization. The proposed methodology is based on feature extraction with the pretrained EfficientNetB0 model. The optimum features enhanced the classifier performance and raised the precision, recall, F1 score, accuracy, and detection of medical pictures to improve the effectiveness of the DL classifier. The paper aims to develop an optimum feature extraction model for successful medical imaging categorization. The optimum features enhanced the classifier performance and raised the result parameters for detecting medical pictures to improve the effectiveness of the DL classifier. Experiment findings reveal that our presented approach outperforms and achieves 98% accuracy.

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Background Pancreaticoduodenectomy is an extremely complex surgical procedure that mandates aggressive postoperative management. Unfortunately, in developing countries, the limited resources and poor postoperative care lead to multiple complications and abysmal outcomes. Therefore, our study aimed to evaluate the spectrum of postoperative complications and outcomes among patients undergoing pancreaticoduodenectomy. Methods This retrospective study involved a total of 97 patients who underwent pancreaticoduodenectomy for ampullary, periampullary, or pancreatic tumors. Patients with advanced metastasis and unresectable tumors were excluded from the study. Patients were studied for various parameters including the demographic details, postoperative outcomes, characteristics of the tumor, and postoperative complications. Results Out of 97 patients, 59 (60.8%) patients were males. The mean age of the study participants was 53.43 ± 17.89 years. Jaundice and abdominal pain were the most common presenting symptoms among the study participants. Of the 97 patients, 58 (59.8%) had malignant tumors. A total of 49 patients developed various postoperative complications including surgical site infections (10.3%), anastomosis leakage (9.27%), pancreatic fistula (9.27%), cholangitis (7.2%), and biliary leakage (4.1%). A total of 29 (29.9%) patients expired due to postoperative complications. Conclusions Surgical site infections, anastomosis leakage, pancreatic fistula, cholangitis, and biliary leakage are common but preventable postoperative complications after pancreaticoduodenectomy. These lead to morbidity and mortality, especially in the setting of a resource-deprived developing country. Aggressive postoperative management, improved surgical technique, better intraoperative hemostasis management, and a multi-disciplinary approach for the management of such patients can help in preventing postoperative complications and improving the postoperative outcomes.