Classifiers With a Reject Option for Early Time-Series Classification

Early classification of time-series data in a dynamic environment is a challenging problem of great importance in signal processing. This paper proposes a classifier architecture with a reject option capable of online decision making without the need to wait for the entire time series signal to be present. The main idea is to classify an odor/gas signal with an acceptable accuracy as early as possible. Instead of using posterior probability of a classifier, the proposed method uses the "agreement" of an ensemble to decide whether to accept or reject the candidate label. The introduced algorithm is applied to the bio-chemistry problem of odor classification to build a novel Electronic-Nose called Forefront-Nose. Experimental results on wind tunnel test-bed facility confirms the robustness of the forefront-nose compared to the standard classifiers from both earliness and recognition perspectives

DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis

Computational pathology tasks have some unique characterises such as multi-gigapixel images, tedious and frequently uncertain annotations, and unavailability of large number of cases [13]. To address some of these issues, we present Deep Fastfood Ensembles - a simple, fast and yet effective method for combining deep features pooled from popular CNN models pre-trained on totally different source domains (e.g., natural image objects) and projected onto diverse dimensions using random projections, the so-called Fastfood [11]. The final ensemble output is obtained by a consensus of simple individual classifiers, each of which is trained on a different collection of random basis vectors. This offers extremely fast and yet effective solution, especially when training times and domain labels are of the essence. We demonstrate the effectiveness of the proposed deep fastfood ensemble learning as compared to the state-of-the-art methods for three different tasks in histopathology image analysis.Comment: arXiv admin note: substantial text overlap with arXiv:2104.0066

A Route Confidence Evaluation Method for Reliable Hierarchical Text Categorization

Hierarchical Text Categorization (HTC) is becoming increasingly important with the rapidly growing amount of text data available in the World Wide Web. Among the different strategies proposed to cope with HTC, the Local Classifier per Node (LCN) approach attains good performance by mirroring the underlying class hierarchy while enforcing a top-down strategy in the testing step. However, the problem of embedding hierarchical information (parent-child relationship) to improve the performance of HTC systems still remains open. A confidence evaluation method for a selected route in the hierarchy is proposed to evaluate the reliability of the final candidate labels in an HTC system. In order to take into account the information embedded in the hierarchy, weight factors are used to take into account the importance of each level. An acceptance/rejection strategy in the top-down decision making process is proposed, which improves the overall categorization accuracy by rejecting a few percentage of samples, i.e., those with low reliability score. Experimental results on the Reuters benchmark dataset (RCV1- v2) confirm the effectiveness of the proposed method, compared to other state-of-the art HTC methods

Conservative Treatment of an Infected Lateral Canal: A Case Report with a 4-Year Follow-up

Connective tissues in lateral canals mostly remain vital even after pulp necrosis of the main canals. However, lateral canals may become necrotic following the pulp necrosis of the main root canal or after root canal therapy. This case report presents a maxillary central incisor with a necrotic lateral canal and a sinus tract that initially showed healing following the primary endodontic treatment but showed infection after fiber-post placement and permanent restoration with composite resin. Tracing the sinus tract did not reveal the reason for the infection; however, cone beam computed tomography (CBCT) confirmed a lateral radiolucency of the maxillary right central incisor as the only reason for the return of the infection. A conservative re-treatment approach was performed, replacing the fiber post with gutta-percha and root canal sealer. Successful outcome was achieved with a conservative approach; however, it took some time for the sinus tract to heal. In the case of lateral canal infection, sealing the main root canal space could heal the lesion even without lateral canal negotiation. If the main root canal seal is disturbed, re-cleaning and obturating the main root canal could be successfu

Comparing the Efficacy of Premedication with Ibuprofen in Combination with an Inferior Alveolar Nerve Block and Primary Buccal Infiltration in Mandibular Molars with Irreversible Pulpitis: A Triple-blinded Randomized Clinical Trial

Introduction: This study aimed to determine the success rate of the combination of buccal infiltration (BI) and inferior alveolar nerve block (IANB) injections in irreversible pulpitis in mandibular molars after premedication with ibuprofen. Materials and Methods: From 132 patients participated in the study, 120 patients were included. One hour before root canal treatment, patients with mandibular molars with symptomatic irreversible pulpitis received either a 600 mg ibuprofen capsule or a placebo. All patients received 2% lidocaine with 1:80000 epinephrine and 4% articaine with 1:100000 epinephrine for IANB and BI, respectively. Patients’ pain was evaluated using the Heft-Parker visual analog scale during the preparation of access cavity, exposure of pulp, and instrumentation of root canal. The success of anesthesia was defined as the absence of pain or mild pain. The Chi-square and t-test were employed for data analysis. Results: The difference between patient age and gender in the two groups was not significant (P>0.05). The anesthesia success rate was 85% in the premedicated and 70% in the placebo group, with statistically significant results (P=0.049). Conclusion: Based on this triple-blinded randomized clincal study, mandibular molars with irreversible pulpitis were not thoroughly anesthetized by a combination of IANB+BI after premedication with ibuprofen (600 mg), even though anesthesia success was improved significantly by ibuprofen premedication

Evaluation of the Levels of Evidence in Three Clinical Chapters in Five Editions of the Textbook Pathways of the Pulp

Introduction: The levels of evidence (LOE) of dental education texts is critical from the educational point of view. The present study aimed to evaluate the levels of evidence of references used in three clinical chapters in the textbook Pathways of the Pulp. Material & Method: The references of three clinical chapters in the text book Pathways of the Pulp were assessed in five of its editions. The levels of evidence were ranked according to study type and the Oxford scale from 0 to 5. The chi-square test was used to compare the level of evidence between different editions of the "Retreatment," "Trauma," and "Surgery" chapters. Results: A total of 3656 references were reviewed and analyzed from the "Trauma" (928 references), "Re-treatment" (1906 references), and "Surgery" (822 references) chapters in the 1998, 2002, 2006, 2011, and 2016 editions. The percentage of the LOE 0 (no evidence) was high (>60%) in all three chapters in all editions (P<0.001). The levels of evidence had the same distribution in all editions (P=0.871). The LOE of the "Re-treatment" (P=0.044) and "Surgery" (P<0.001) chapters changed in some editions. Conclusion: The majority of references in the three clinical chapters of the book are low-level evidence. Encouragement policies for researchers to conduct studies with high LOE are necessary

Treatment of a Maxillary Second Molar with One Buccal and Two Palatal Roots Confirmed with Cone-Beam Computed Tomography

Root canal configuration is an important subject in endodontic practice and dentists should be familiar with all possible types of root canal configuration. A forty-three year old male was referred for root canal treatment of his maxillary left second molar tooth with symptomatic irreversible pulpitis. Pre-operative radiographs showed a three rooted molar. However, after access cavity preparation two palatal and one buccal orifices were detected. The patient was informed of the unusual root canal anatomy and cone-beam computed tomography (CBCT) was ordered for precise evaluation of the anatomy. CBCT image confirmed the presence of one buccal and two palatal root canals; an exceptionally rare condition.Keywords: Cone-Beam Computed Tomography; Maxillary Second Molar; Palatal Roots; Root Anatom